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XilinxFPGA引脚功能详细介绍
Xi lin X F PGA 引脚功能详细介绍注：技术交流用,希望对大家有所帮助。
I O_LXX Y _ # 用户10弓I脚XX代表某个Bank内唯一得一对引脚，Y=［P|N ］代表对上升沿还就是下降沿敏感，# 代表ban k 号2. I0_LXXY —Z Z Z_ #多功能引脚Z ZZ代表在用户10得基本上添加一个或多个以下功能。
Dn:1/ 0（在r eadb a ck期间），在selectMAP或者BPI模式下，D ［1 5 :0］配置为数据口。
在从Selec t MAP读反馈期间，如果RDWR_B= 1,则这些引脚变成输出口。
配置完成后，这些引脚又作为普通用户引脚•D 0_DIN_ M ISO_M I SO1: I,在并口模式（Sel ec tMAP/ B PI）下，D0 就是数据得最低位,在Bit —se r ial模式下，DI N就是信号数据得输入；在SPI模式下,MISO就是主输入或者从输出；在SPI*2或者S PI * 4模式下,M I SO 1就是S P I总线得第二位。
D1_MISO 2 ,D2_MIS O 3: I，在并口模式下，D1与D2就是数据总线得低位；在S PI * 4模式下, MISO2 与MISO3 就是SPI 总线得MSBs.A n :O, A : 25 :0］为B PI模式得地址位。
配置完成后，变为用户I/ O口。
A WAKE: O ,电源保存挂起模式得状态输出引脚。
SU S P E ND就是一个专用引脚，A WAK E就是一个多功能引脚。
除非SUSPEND模式被使能，AWAK E被用作用户I / O。
M O SI _CSI_B_MI S O0:I/O,在SPI模式下，主输出或者从输入在Se l ectMAP模式下，CS I_B 就是一个低电平有效得片选信号；在SPI * 2或者S P I *4得模式下,M I SO 0就是S PI总线得第一位数据。
FCS_B:O,BPI flash 得片选信号.FO E _B：O,B PI flash 得输出使能信号FW E_ B : O , BP I f l a sh得写使用信号LDC : O,BP I模式配置期间为低电平HDC: 0 ,B PI 模式配置期间为高电平CSO_B :O,在并口模式下，工具链片选信号。
外研版高中英语全部单词表背单词词义表默写必备
以前的；从前的
/di'skripʃən/
n.
记述；描述
/ə'meizd/
adj.
吃惊的；惊讶的
/im'bærəsiŋ/
adj.
令人尴尬的；令人难
/tek'nɒlədʒi/
n.
技术
/im'pres/
vt.
使印象深刻
/kə'rekʃən/
n.
改正；纠正
/in'kʌridʒmənt/
n.
鼓励；激励
（复）数据
/di'fens/
n.
保护；防卫
/kri:'eit/
vt.
创造；发明
/'netwə:k/
n.
网络
/vaiə/
pre
途经；经由
/pə'sentidʒ/
n.
百分数；百分率
/di'zain/
vt.
设计
/'dɒkjumənt/
n.
文件
/in'venʃən/
n.
发明
/pə'miʃən/
n.
许可
/'militəri/
n.
支气管炎
(SH2 M2)
/'kænsə/
n.
癌症
(SH2 M2)
/,siɡə'ret/
n.
香烟
(SH2 M2)
/tə'bækəu/
n.
vi.
消失
/mu:v/
vi.
搬家
/ə'sistənt/
n.
助手；助理
/'kʌvə/
部编版四年级语文上册26《西门豹治邺》课后练习题(有答案)
成竹在胸
(二)1.C 2.A C D 3.A B C
4、参考样例 1：我想对西门豹说：要不是你机智的方法,还不知道要死多少姑娘呢,老百
姓以后再也不用担惊受怕了! 参考样例 2：谢谢您啊,您为老百姓破除了迷信,惩治的官绅恶霸,带领老百姓开凿水渠,引 漳河的水浇灌农田,整治了邺地的水利,使邺地的经济得到发展,老百姓的日子好过了,您
1.对文中画线句理解正确的是( ) A.西门豹真的认为这姑娘不漂亮,要为河伯送一个漂亮的.
B.西门豹既相信河伯会娶媳妇,又要救这个姑娘,只好拖延时间。
C.这是西门豹的计谋,借机为民除害,教育人民,破除迷信。
2.联系全文想想,西门豹破除迷信妙在哪里?(
)(多选)
A.安排周密 B.乔装打扮 C.假戏真做
13.“4567 不 来,麻8你们 9一9吧。”( )
A.:45;<=>子2?@A。
B.是 <= B2?C。
C.D , 1<= E很F%,GH IJ来K&;LM<=。
14.NO的PQRS是( )
A.TU水VWXYZ[W\]^_ B.XYZ[W\]^_WTU水V
C.\]^_WXYZ[WTU水V
15.“这 来,河神
10.西门豹说：“这样说来,河神还真灵啊。下一回他娶媳妇,请告诉我一声,我也去送送
新娘。”
表面上西门豹似乎
,实际上是
。“我也去送送新娘”
,
他要借
惩办
和
的计划已
,表现了西门豹说话
的艺术技巧。
三.阅读课内精彩语段,完成练习。
(一)
西门豹问：“这话是谁说的?”
老大爷说：“巫婆说的。地方上的官绅每年出面给河神办喜事,硬逼着老百姓出
部编版人教版小学一年级语文上册《秋天》优质课件
呀！秋天来了，我们的周围会有这么多 的变化，大自然真是太神奇了！让我们一起 去观察，一起去发现，看看美丽的秋天还有 哪些变化吧！
秋天的颜色
qiū tiān de yán sè, gāo liáng shuō shìhóng sède
秋 天／ 的 颜 色，高 粱 说／ 是 红 色 的，
gǔ zi shuō shìhuángsède, dòujiáshuō shìhèsède
秋 天 tiān qì liánɡ le shù yè huánɡ
天 气 凉 了， 树 叶 黄
tiān qì liánɡ le shù yè huánɡ
ti天ān kō气nɡ 凉nà 了me，lán树 叶nà 黄me
天 空 那 么 蓝，那 么
了l了l落llɡ高uueeāòòo，，。x下x12i一i一yyàà一íyíīlt来tl天天tpáiip天á片iii片āāqi群ià。ānnúànnnnk气空kqpō空片大pōìidn片inààɡlànɡ凉in那ná那y叶雁nyànàà叶èyɡnè了l么wm子么e往zmǎei子e，zniɡcl从蓝ól蓝n南ácnás从á树nóɡnhnn，，ùsɡ树hf飞sù树那叶ēny那hniàèsùà，上hàhs黄上n么uhm么一ɡmyáàeeīnnɡɡɡ高hāɡ高会uoā了l落ìl。oure。ò，儿一yyx下一īyi一ìyītàí天ip排q群ālá来úq群npáinú片iicnkà。空h成大ōndén大àdnɡàpɡ片i那个y雁nàɡàyà雁nènàn叶wy么“往mǎèw往enǎɡnr人子ɡzél蓝n南ináán南”nnác，从nónf飞ɡēf飞字那zniēìs树à，ih，，ù 么一mys一一上eīhyyàīīnɡ
秋 天 ／是五颜六色的，不信／你瞧／我的篮子。
李商隐古诗必背16首(一二年级)
chūn cán dào sǐ sī fānɡ jìn
là jù chénɡ huī lèi shǐ ɡàn
春蚕到死丝方尽，蜡炬 成 灰泪始干。
xiǎo jìnɡ dàn chóu yún bìn ɡǎi
yè yín yīnɡ jué yuè ɡuānɡ hán
晓镜但愁云鬓改，夜吟应觉月 光 寒。
xī yánɡ wú xiàn hǎo
zhǐ shì jìn huánɡ hūn
庄 生 晓梦迷蝴蝶，望帝春心托杜鹃。 夕阳无限好，只是近 黄 昏。
cānɡ hǎi yuè mínɡ zhū yǒu lèi
lán tián rì nuǎn yù shēnɡ yān
沧海月明珠有泪，蓝田日暖玉 生 烟。
cǐ qínɡ kě dài chénɡzhuī yì
身无彩凤 双 飞翼，心有灵犀一点通。
pénɡshān cǐ qù wú duō lù
qīnɡ niǎo yīn qín wéi tàn kàn
蓬山此去无多路，青鸟殷勤为探看。
ɡé zuò sònɡ ɡōu chūn jiǔ nuǎn fēn cáo shè fù là dēnɡhónɡ
隔座送钩春酒暖，分曹射覆蜡灯红。
远书归梦两悠悠，只有空 床 敌素秋。
jiē xià qīnɡ tái yǔ hónɡ shù
yǔ zhōnɡ liáo luò yuè zhōnɡchóu
阶下青苔与红树，雨 中 寥落月 中 愁。
rì rì chūnɡuānɡ dòu rì ɡuānɡ shānchénɡ xié lù xìnɡ huā xiānɡ
何当共剪西 窗 烛，却话巴山夜雨时。
hán dōnɡ lánɡ jí xí wéi shī xiānɡsònɡ zhī yī
清音输入对照表
清音输入对照表
清音输入，平/片假名通用。
以其中打了“/”杠的表示两种输入法可通用，“ゐ”和“ゑ”是古语假名，使用较少，输入时键入对应的英文字母后，按空格键寻找就可以了。
浊音、半浊输入对照表
浊音、半浊输入，平/片假名通用，其中じ（ジ）-（zi）微软日文输入法适用、じ（ジ）-（ji）微软日文输出入法；ぢ（ヂ）-（dji）。
拗音输入对照表
拗音输入，平/片假名通用，把第一个字的母音去掉即可
长音ー输入
片假名里的长音符号“ー”，输入方法是按数字键0右方的-（减号键）。
促音っ输入
∙∙∙∙∙∙∙∙∙∙∙∙∙∙∙∙∙∙ 单词中输入促音也就是小っ，方式有两种：
∙∙∙∙∙∙∙∙∙∙∙∙∙∙∙∙∙∙∙∙∙∙∙∙∙∙∙∙∙∙ 双重输入后一发音的第一个字母后，会出现促音，比如：切符，きっぷkippu、学校がっこうgakkou
∙∙∙∙∙∙∙∙∙∙∙∙∙∙∙∙∙∙∙∙∙∙∙∙∙∙∙∙∙∙ 单独输入小っ的时候可以使用直接输入ltu或者xtu
小ぁぃぅぇぉ输入
在前面加上x或l就可以变成小假名（没有小假名的除外）。
比如：输入字母“l”或“x”+a、i、u、e、o，输入la得到ぁ，输入xa也得到ぁ，输入li得到ぃ。
汉字、词输入
要变换汉字、词语时，输入对应的假名后，按[space]空格键，即会出现变换出来的汉字或词的清单，找到想输入的汉字或词时再按[enter]回车键。
全部音节码
咖啡#XBGA:XBUE#
大卡#DA:XBGA#
哈气#XGA:XGI#
哈哈#XGA:XGA#
剥夺#BO:DO#
批驳#BGI:BO#
泼墨#BGO:XBO#
击破#GI:BGO#
抹煞#XBO:XZA#
寂寞#GI:XBO#
佛门#XBUO:XBN#
是佛#XZ:XBUO#
余额#IU:E#
甚至#XZN:Z#
怎的#DZN:D#
折合#ZE:XG#
记者#GI:ZE#
撤离#BZE:XDI#
出车#BZU:BZE#
舍弃#XZE:XGI#
取舍#XGIU:XZE#
惹事#XBZE:XZ#
炽热#BZ:XBZE#
责任#DZE:XBZN#
斥责#BZ:DZE#
侧目#BDZE:XB#
兜捕#DEO:B#
搏斗#BO:DEO#
偷盗#BDEO:DAO#
摸透#XBO:BDEO#
陋习#XDEO:XI#
走漏#DZEO:XDEO#
周密#ZEO:XBI#
非洲#XBUE:ZEO#
仇杀#BZEO:XZA#
报酬#BAO:BZEO#
收购#XZEO:GEO#
出售#BZU:XZEO#
蛮横#XBNA:XGNE#
自满#DZ:XBNA#
凡是#XBUNA:XZ#
超凡#BZAO:XBUNA#
担任#DNA:XBZN#
负担#XBU:DNA#
贪污#BDNA:U#
漫步#XBNA:B#
难办#XBDNA:BNA#
河南#XG:XBDNA#
常用略码词语
略码规则：1、三音词略码编码规则三音词略码的缩略方式为选取第一个字声母及韵母组合，并加上三音节词的略码表识v v即可。
例子：房地产 fhvv国务院 govv2、四音词略码编码规则四音词略码的缩略方式为选取第一个及第四个字声韵组合，并加上四音词的略码表识u u即可。
例子：解放思想 jx xd uu坚定不移 jm yi uu3、四音以上词语略码编码规则四音以上略码词的编码方案采取为，选取一二音节，并加上四音以上词略码的标识 i i即可。
例子：中央电视台 vs yh ii不问青红皂白 bu wf ii4、双词组及以上词组略码编码规则双词组及以上词组略码编码规则采取，选取一二音节，并加上其标识码 v v即可。
例子：一个国家两种制度 yi ge vv建设有中国特色的社会主义：jm ue vv特定一、二、三音词略码Aaavv,1=阿拉伯aivv,1=艾滋病anvv,1=安理会aovv,1=奥巴马Bbavv,1=罢免权blvv,1=百分点bjvv,1=办公室bhvv,1=帮倒忙bkvv,1=保障部bzvv,1=被认为bfvv,1=本地区bgvv,1=迸发出bivv,1=笔记本bmvv,1=便携式bcvv,1=标志着bxvv,1=别生气byvv,1=并不是bovv,1=博物馆buvv,1=不可能Cclvv,1=财政部cjvv,1=残疾人ckvv,1=操作员cevv,1=侧重点cgvv,1=曾经是iavv,1=差不多ilvv,1=差旅费ijvv,1=产业化ihvv,1=常态化ikvv,1=炒鱿鱼ievv,1=车厢里igvv,1=成活率iivv,1=持续性isvv,1=充其量iuvv,1=出发点iyvv,1=揣兜里irvv,1=传下去idvv,1=创新性ipvv,1=纯利润civv,1=刺激性cbvv,1=凑热闹cuvv,1=粗线条cvvv,1=催化剂cpvv,1=存储器covv,1=错误率Ddavv,1=达不到dlvv,1=代表性djvv,1=担保人dhvv,1=党中央dkvv,1=到时候devv,1=得不到dgvv,1=邓小平divv,1=第一次dmvv,1=电视机dyvv,1=定心丸dsvv,1=东南亚dbvv,1=都不是duvv,1=独立性drvv,1=短时间dvvv,1=对不起dovv,1=多媒体Eervv,1=耳旁风Ffavv,1=发病率fjvv,1=反过来fhvv,1=房地产fzvv,1=非正常ffvv,1=分不开fgvv,1=风向标fbvv,1=否决权fuvv,1=服务器Gglvv,1=概念化gjvv,1=感觉到ghvv,1=刚开始gkvv,1=高标准gevv,1=各部门gzvv,1=给政策gfvv,1=跟不上ggvv,1=更方便gsvv,1=共产党gbvv,1=购买力guvv,1=股份制gwvv,1=挂起来gyvv,1=怪不得grvv,1=关键词gdvv,1=广泛性gvvv,1=规范化govv,1=国务院Hhavv,1=哈尔滨hlvv,1=海南岛hjvv,1=含金量hhvv,1=航天员hkvv,1=好奇心hevv,1=核武器hzvv,1=黑龙江hfvv,1=很高兴hsvv,1=红楼梦hbvv,1=候车室huvv,1=胡锦涛hwvv,1=华盛顿hyvv,1=怀念他hrvv,1=换言之hdvv,1=黄浦江hvvv,1=会员国hpvv,1=婚姻法hovv,1=火车站Jjivv,1=基本上jwvv,1=加拿大jmvv,1=检察院jdvv,1=江泽民jcvv,1=交易所jxvv,1=阶段性jnvv,1=尽可能jyvv,1=竞争力jqvv,1=就是说juvv,1=具体化jtvv,1=决定权jpvv,1=军事化Ｋklvv,1=开发区kjvv,1=看样子kkvv,1=考察团kevv,1=科学家kfvv,1=肯德基ksvv,1=空置率kbvv,1=口香糖kuvv,1=库存量kwvv,1=跨行业kyvv,1=快来看kdvv,1=狂犬病kpvv,1=困难户kovv,1=扩大化khvv,1=抗生素Llavv,1=拉关系llvv,1=来得及ljvv,1=拦路虎lkvv,1=老百姓levv,1=乐天派lzvv,1=雷声大livv,1=立交桥lmvv,1=联合国ldvv,1=两方面lcvv,1=了不起lxvv,1=列车员lnvv,1=临时工lyvv,1=领导人lqvv,1=留学生lsvv,1=龙卷风lbvv,1=露一手luvv,1=录像机lvvv,1=旅游业lrvv,1=乱收费ltvv,1=略高于lovv,1=落脚点Mmavv,1=马后炮mlvv,1=买不起mjvv,1=慢性病mhvv,1=忙不迭mkvv,1=贸易额mzvv,1=没必要mfvv,1=门市部mgvv,1=蒙古族mivv,1=秘书长mmvv,1=免不了mnvv,1=民政部myvv,1=明白人movv,1=抹不开mbvv,1=某些人muvv,1=目的地Nnavv,1=那一刻nlvv,1=奶制品njvv,1=难不成nkvv,1=闹革命nzvv,1=内蒙古nivv,1=尼泊尔nmvv,1=年利润nyvv,1=凝聚力nuvv,1=奴隶制nvvv,1=女士们nrvv,1=暖洋洋Oouvv,1=偶然性Ppavv,1=爬上来plvv,1=拍马屁pjvv,1=判决书phvv,1=旁观者pkvv,1=跑龙套pzvv,1=赔不是pfvv,1=喷雾器pgvv,1=彭德怀pivv,1=批评家pmvv,1=片面性pcvv,1=票贩子pnvv,1=贫困户pyvv,1=平方米povv,1=破天荒pbvv,1=剖面图puvv,1=普遍性Qqivv,1=企业家qwvv,1=洽谈会qmvv,1=前几年qdvv,1=强有力qcvv,1=巧克力qxvv,1=切不可qnvv,1=亲民党qyvv,1=情况下qsvv,1=穷小子qqvv,1=球迷们quvv,1=区域性qrvv,1=全国性qpvv,1=群众性Rrjvv,1=染色体rhvv,1=让一让rkvv,1=绕弯子revv,1=热衷于rfvv,1=人民币rsvv,1=容不得ruvv,1=如果说rrvv,1=软弱性rpvv,1=润滑油sjvv,1=三等奖shvv,1=桑塔纳sfvv,1=森林法uavv,1=杀人犯uhvv,1=商品化ukvv,1=少先队uevv,1=设计院ufvv,1=审判员ugvv,1=生产力uivv,1=事实上ubvv,1=受不了uuvv,1=数不尽uwvv,1=耍脾气udvv,1=双职工uvvv,1=水平上upvv,1=顺口溜uovv,1=说明书sivv,1=思想家ssvv,1=送人情sbvv,1=馊主意suvv,1=速记员srvv,1=酸辣粉spvv,1=孙中山sovv,1=所得税Ttavv,1=他们的tlvv,1=太平洋tjvv,1=谈一谈thvv,1=糖尿病tkvv,1=讨论会tevv,1=特别是tivv,1=体会到tmvv,1=天安门tcvv,1=调整到txvv,1=铁道部tyvv,1=听证会tsvv,1=同志们tbvv,1=投资者tuvv,1=土地法trvv,1=团中央tvvv,1=推销员tpvv,1=吞吐量tovv,1=托儿所Wwuvv,1=物权法wavv,1=娃哈哈wlvv,1=外交部wjvv,1=完不成whvv,1=忘不了wzvv,1=为什么wfvv,1=文化部wovv,1=沃尔沃Xxivv,1=吸引力xwvv,1=下半年xmvv,1=现阶段sdvv,1=相适应xcvv,1=消费者xxvv,1=歇后语xnvv,1=信息化xyvv,1=形式上xsvv,1=凶杀案xqvv,1=休假日xuvv,1=需求量xrvv,1=选择性xtvv,1=学习班xpvv,1=训练班Yyivv,1=一部分yavv,1=亚健康yjvv,1=研讨会yhvv,1=养殖场ykvv,1=要不是yevv,1=也许是ynvv,1=印刷厂yyvv,1=营业员ysvv,1=用不着ybvv,1=有的是yuvv,1=于是乎yrvv,1=原则性ytvv,1=越来越ypvv,1=运动员Zzavv,1=杂志社zjvv,1=赞助商zhvv,1=脏乱差zkvv,1=早上好zevv,1=责任感zfvv,1=怎么办zgvv,1=增长率vavv,1=诈骗犯vlvv,1=债权人vjvv,1=占优势vhvv,1=掌权者vkvv,1=招待所vevv,1=这句话vfvv,1=真实性vgvv,1=正常化vivv,1=质量关vsvv,1=重要性vbvv,1=周期性vuvv,1=主办方vwvv,1=抓阄儿vrvv,1=专业化vdvv,1=装样子vvvv,1=追溯到vpvv,1=准备好vovv,1=着眼点zivv,1=自动化zsvv,1=总体上zbvv,1=走后门zuvv,1=组委会zrvv,1=钻空子zvvv,1=最重要zovv,1=座谈会四音节缩略词、四音节以上缩略词aaiqyuu,1=爱国热情aiuiuu,1=爱国人士anjxuu,1=安定团结anijuu,1=安全生产anwzuu,1=安全保卫anuiuu,1=安检措施anvduu,1=安于现状aniguu,1=安装工程anjiuu,1=安分守己anpzuu,1=按劳分配aoyauu,1=澳大利亚ahxsuu,1=昂首挺胸aolnii,3=奥林匹克精神aolnii,1=奥林匹克中心aigoii,1=爱国统一战线aigoii,2=爱国卫生运动aolnii,1=奥林匹克运动会anvkii,1=按照国家规定aomfii,1=澳门特别行政区anlkvv,1=按劳分配为主体、多种分配方式并存的分配制度Bbuhuuu,1=不亦乐乎bjueuu,1=班子建设buujuu,3=步履蹒跚burfuu,1=不负责任buliuu,1=不遗余力bujmuu,1=不经意间buyuuu,1=不言而喻bugfuu,1=不可摇根buduuu,1=不同角度bufuuu,1=不修边幅buquuu,1=不同地区bukbuu,1=不折不扣butiuu,1=不是问题buhluu,1=不受侵害buxxuu,1=不可推卸busiuu,1=不好意思buzkuu,1=不骄不躁budsuu,1=不懂装懂buvuuu,1=不由自主buujuu,1=不断完善buqtuu,1=不可或缺buziuu,1=不法分子bugeuu,1=不可分割buxduu,2=不堪设想buqxuu,1=不顾一切buyhuu,1=不太一样buihuu,1=不同寻常buuiuu,1=不仅仅是bummuu,1=不可避免buyiuu,1=不可思议buxduu,1=不良倾向bujiuu,1=不切实际bunkuu,1=不屈不挠burjuu,1=不以为然buyuuu,1=不言而喻bufguu,1=不正之风bujtuu,1=不知不觉blbluu,1=百分之百blfhuu,1=百花齐放blmyuu,1=百家争鸣blnkuu,1=百折不挠blvsuu,1=百忙之中blihuu,1=百货商场blhvuu,1=百折不回blleuu,1=百事可乐bjjiuu,1=半个世纪bjfzuu,1=半途而废bjdiuu,1=半殖民地bjjwuu,1=半路出家bxxnuu,3=别具匠心bxxnuu,1=别有用心bxcluu,1=别出心裁bajpuu,1=八国联军bahwuu,1=八五计划bkyiuu,1=保密协议bkyauu,1=保加利亚bkgouu,1=保卫祖国bkyeuu,1=保险行业bktsuu,1=保卫系统bkwzuu,1=保护范围bkjiuu,1=保护自己bkduuu,1=保护力度bmhwuu,1=遍地开花bljwuu,1=白手起家blbuuu,1=白色恐怖bkhuuu,1=包产到户bfmouu,1=本世纪末bitcuu,1=比例失调biukuu,1=必不可少bmquuu,1=边远地区bmliuu,1=变本加厉bcuuuu,1=表演艺术bydiuu,1=冰天雪地bovguu,1=拨乱反正bonuuu,1=勃然大怒boduuu,1=剥削制度bojiuu,1=播种面积bojxuu,1=薄弱环节biuiuu,2=比比皆是biiuuu,1=比较突出bjdmuu,1=办公地点bzhvuu,1=北京峰会bzxtuu,1=北京大学biuiuu,1=必然趋势bokouu,1=波澜壮阔bupyii,1=不平等条约budaii,1=不打不相识bufzii,1=不费吹灰之力buffii,1=不分青红皂白bukeii,1=不可同日而语buubii,1=不受欢迎的人buwfii,1=不问青红皂白buviii,1=不知天高地厚budkii,1=不到长城非好汉budkii,2=不到黄河心不死butsii,1=不同地区之间bugjii,1=不敢越雷池一步bugrii,1=不管三七二十一bajqii,1=八九不离十baxcii,1=八小时工作制bkhuii,1=保护性条款bkiiii,1=保持高度一致blsiii,1=百思不得其解blwfii,1=百闻不如一见bjvii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常见地名中英互译
ANHWEI 安徽– Anhui Peaceful Emblemo Changchieh (Changjie) 長街sub-office in Wuhuo Changlinho (Changlinhe) 長臨河31n41 117e27 Long Face Rivero Changpalin (Zhangbaling) 張八嶺near Chuzhou Open Eight Ridge o Chaohsien 巢縣(Chaohu 巢湖) 31n36 117e51 Nest City, Nest Lake o Chekao (Zhegao) 柘皋31n46 117e44 Cudrania Marsho Chengyangkwan (Zhengyangguan) 正陽關32n29 116e32 Justice Sun Passo Chihteh (Zhide) 至德30n09 117e00 Virtue Arriveo Chiki (Jixi)績溪(Huayang 華陽) 30n04 118e36 Pacify Creek,Magnificent Suno Chüantsiao (Quanjiao) 全椒32n05 118e15 Everything Spiceso Chuchai 朱寨(Xueji, Funan 阜南) 32n38 115e34 Vermillion Stockade, Abundant Southo Chuhsien (Chuxian) 滁縣(Chuchow, Chuzhou) 32n19 118e18 Chu River Cityo Chungmiao (Zhongmiao) 忠廟31n35 117e27 Devotion Templeo Chuyi (Xuyi) 盱貽33n01 118e28 (now in Jiangsu) Astonishing Gift o Fanchang 繁昌31n05 118e11 Difficult Prosperouso Fengtai 鳳臺32n42 116e42 Phoenix Lookouto Fengyang 鳳陽32n53 117e32 Phoenix Suno Fowyang (Fuyang) 阜陽32n55 115e48 Abundant Suno Fulitsi (Fuliji) 符離集33n45 116e58 Symbol Depart Gathero Hanshan 含山31n42 118e05 Cherish Mountaino Hohsien (Hexian) 和縣(Liyang 歷陽) 31n43 118e21 Together City, History Suno Holiki (Helixi) 河瀝溪30n37 118e58 River Trickle Creeko Hukow (Hugou)湖溝near Sixian 宿縣33n29 117e53o Hwaian 懷安33n30 119e07 Bosom Safeo Hwaining 懷寧(Nganking, Anking 安慶) 30n30 117e02 BosomTranquil,Safe Celebrateo Hwaiyüan 懷遠32n57 117e10 Bosom Distanto Hwatsi (Huaji) 滑集32n45 115e22 Comical Fairo Hwokiu (Huoqiu) 霍邱32n20 116e15 Huo Hillo Hwoshan (Huoshan) 霍山31n23 116e19 Huo Mountaino Ihsien (Yixian) 黟縣(Biyang) 29n56 117e56 Ebony Cityo Imentsi (Yimenji, Yimen) 義門集33n38 116e01 Charity Gate Gather o Kaishowtsi (jieshouji, Jieshou) 界首集33n15 115e19 Circles HeadGathero Kiashan (Jiashan) 嘉山32n33 118e14 Excellent Mountaino Kimen 祁門(Qishan 祁山) 29n51 117e42 Qi Gate, Qi Mountaino Kinghsien (Jingxian) 涇縣30n42 118e24 Jing River Cityo Kinshentun (Jinshendun) 金神墩30n54 116e59 Gold God Moundo Kiulungkang (Jiulonggang) 九龍崗32n38 117e04 Nine Dragon Post o Kuchen (Guzhen) 固鎮33n18 117e18 Strong Towno Kungcheng (Kongcheng)孔城31n01 117e00 Great Cityo Kwangteh (Guangde) 廣德(Taozhou 桃州) 30n54 119e25 BroadVirtueo Kweichih (Guichi) 貴池(Chizhou 池州) 30n39 117e29 Noble Pool o Kwoyang (Guoyang) 渦陽33n31 116e12 Guo River Sunshineo Laian (Lai'an) 來安32n27 118e25 Come Safeo Langki (Langxi) 郎溪31n08 119e10 Gentleman Creeko Langkiaoho (Langqiaohe, Langqiao) 榔橋河30n28 118e27 Betel-nut Bridge Rivero Lantien (Lantian)藍田29n54 118e05 Blue Fieldo Liangyüan 梁園31n58 117e33 Bridge Gardeno Lihwang (Lihuang) 煌立(Jinzhaizhen, Jinzhai 金寨) 31n31 115e45 Bright Establish, Gold Stockadeo Linchüan (Linquan) 臨泉33n03 115e14 Approach Springo Lingpi (Lingbi) 靈璧33n32 117e33 Spirit Jadeo Lingyangchen (Linyangzhen, Lingyang)陵陽鎮30n25 117e52 Bright Sun Towno Linhwaikwan (Linhuaiguan) 臨淮關32n54 117e37 Lin River Sea Pass o Linhwantsih (Linhuanji) 臨渙集33n41 116e32o Liuan (Lu'an) 六安31n48 116e30 Six Safeo Lohho (Luohe, Luohejie)洛河洛河街32n41 117e03 Luo Rivero Luchowfu (Luchow廬州,Anhui City, Hofei,Hefei 合肥) 31n51 117e16Cottage City, Fit Fertileo Lukiang (Lujiang) 廬江31n15 117e17 Cottage Rivero Lukiao (Luqiao) 爐橋32n32 117e13 Stove Bridgeo Lungfow (Longfu) 隆阜29n42 118e18 Grand Abundanto Maanshan 馬鞍山31n43 118e29 Horse Saddle Mountaino Mafow (Mabu) 蔴埠31n34 116e04 Hemp JettyMalu 馬路sub-office in Wuhu Horse Roadoo Maolintsun (Maolincun, Maolin) 茂林村30n30 118e14 LuxuriantForest Villageo Matowchen (Matouzhen) 馬頭鎮near Xuancheng 宣城30n57118e45 Horse Head Towno Matowcheng (Matoucheng) 馬頭城32n52 117e11 Horse Head City o Mengcheng 蒙城33n16 116e33 Mongolia Cityo Mentaitze (Mentaizi) 門台子32n55 117e31 Gate Platform Childo Mingkwang (Mingguang) 明光32n47 117e59 Bright Lighto Mutien (Mudian)墓店? near Hefei 31n51 117e16 Grave Inno Nanling 南陵30n56 118e20 South Nimbleo Ningkwo (Ningkuo) 寧國(Süancheng, Xuancheng 宣城, Xuanzhou 宣城) 30n57 118e45 Tranquil Country, Declare Cityo Okiao (Eqiao) 峩橋31n11 118e16 Lofty Bridgeo Owtang (Outang)藕塘32n24 117e54 Root of Lotus Pondo Pehan (Beian, Bei'anzhen) 北岸29n54 118e34o Peipinglu 北平路sub-office in Wuhuo Pengpu (Bengbu) 蚌埠(Pangfou) 32n56 117e27 Clam Wharfo Pohsien (Boxian) 亳縣(Bozhou) 33n53 115e46 Shang DynastyCapital Cityo Sanho (Sanhe) 三河32n39 117e55o Shahotsi (Shaheji, Shahe) 沙河集32n25 118e15 Sand River Gather o Shangkikow (Shangxikou, Xikou) 上溪口29n41 118e04 Upper Creek MouthShengpingkai 昇平街sub-office of Pengpu Peaceful Peace Streetoo Shentu (Shendu) 深渡29n52 118e37 Deep Ferryo Shihpaichen (Shipai) 石牌鎮30n25 116e39 Stone Game Pieces Town o Showhsien (Shouxian) 壽縣(Showchow, Shouyang 壽陽) 32n34 116e46 Shou River City, Shou River SunShuanglienszechieh 雙莲寺街sub-office in Hwaining Pair Lotus Temple Streetoo Shucheng 舒城31n28 116e56 Relax Cityo Siangan (Xiang'an) 襄安31n11 117e45 Assist Safeo Siaoki (Xiaoxi) 小溪32n51 117e49 Little Creeko Siatangtsi (Xiatangji)下塘集32n12 117e12 Lower Pond Gathero Siatsun (Xiacun) 夏村near Qingyang 30n38 117e50 Summer Villageo Sihsien (Shexian) 歙縣(Huicheng 徽城) 29n52 118e26 She District City, Insignia Cityo Siuning (Xiuning) 休寧(Haiyang 海陽) 29n49 118e12 Rest Tranquil, Ocean Suno Süancheng (Xuancheng) 宣城30n57 118e45 Announce Cityo Suhsien (Sixian) 宿縣(Suchow 宿州) 33n29 116e53 Lodge Cityo Suikikow (Suixikou, Suixi) 濉溪口33n55 116e46 Sui Creek Moutho Suitung (Shuidong) 水東30n47 118e57 Water Easto Suiyang (Shuiyang) 水陽31n14 118e47 Water Suno Sukiafow (Sujiabu) 蘇家埠31n38 116e20 Su Family Jettyo Sunkiapu (Sunjiabu)孫家埠30n53 118e53 Sun Family Jettyo Susung (Susong) 宿松30n09 116e07 Lodge Pineo Szefanghung (Sifanghung) 四方--sub-office in Tatungo Szehsien (Sixian) 泗縣33n28 117e52 Si River Cityo Taiho (Taihe) 太和33n10 115e37 Fat Togethero Taihu 太湖30n26 116e16 Fat Lakeo Taiping 太平near Rongcheng30n38 117e50 Fat Peace (Pacific)o Taipingszechieh 太平寺街sub-office in Hwaining Fat Peace (Pacific) Temple Streeto Tangkiakow (Tangjiagou)湯家溝30n49 117e29 Tang Family Ditcho Tangtu (Dangtu) 當塗31n34 118e29 Suitable Followo Tanyangchen (Danyangzhen) 丹陽鎮31n38 118e40 Red Sun Towno Taokichen (Taoxizhen, Taoxi) 桃溪鎮31n33 116e58 Peach Creek Towno Tatukow (Dadukou) 大渡口30n30 117e03 Great Ferry Moutho Tatung (Datong) 大通30n49 117e44 Great Connecto Tienchang (Tianchang) 天長32n41 118e59 Heaven Longo Tienfow (Dianbu) 店埠31n52 117e27 Inn Porto Tienkiaan (Tianjia'an) 田家庵(Huainan 淮南) 32n39 117e01 Tian Family Buddhist Monastery, Huai River Southo Tikangchen (Digangzhen, Digang) 荻港鎮31n07 118e00 Reed Harbor Towno Tingyüan (Dingyuan) 定遠32n33 117e30 Calm Distanto Tsaishih (Caishi) 采石31n39 118e27 Gather Stoneo Tsiangpa (Jiangba) 蔣壩33n07 118e43 (now in Jiangsu) Jiang Family Embankmento Tsienshan (Qianshan) 潛山30n37 116e34 Hidden Mountaino Tsingikiang (Qingyijiang) 清弋江(Yijiangzhen 弋江鎮) near 30n55 118e29 Clear Catch Rivero Tsingteh (Chingte, Jingde) 旌德30n17 118e32 Cite Virtueo Tsingtsaoke (Qingcaoge)靑草塥30n51 116e44 Pure Straw --o Tsingyang (Qingyang)靑陽(Rongcheng)30n38 117e50 Blue Sun o Tsitsunkai (Jicunjie, Jicun)際村街29n51 117e42 Border Villageo Tsiwu (Qiwu) 齊武near Huicheng 29n52 118e26 Qi State Militaryo Tsungyangchen (Zongyangzhen, Zongyang) 樅陽鎮30n42 117e12 Fir Tree Sun Towno Tungcheng (Tongcheng) 桐城31n02 116e56 Aleurites Cityo Tungling (Tongling) 銅陵30n57 117e46 Copper Nimbleo Tungliu (Dongliu) 東流30n12 116e54 East Universalo Tunki (Tunxi) 屯溪29n42 118e18 Village Creeko Wanan (Wan'an)萬安29n48 118e10 Ten Thousand Safeo Wanchih (Wanzhi) 湾沚31n11 118e30 Bend Isleto Wangkiang (Wangjiang)望江30n07 116e40 Hope Rivero Wuhu (Wuhe) 五河33n08 117e53 Five Riverso Wuhu 芜湖31n20 118e21 Weedy Lakeo Wukiang (Wujiang) 烏江31n52 118e27 Crow Rivero Wuwei 無為(Wucheng 無城) 31n18 117e54 No Becomeo Wuyi 烏衣32n13 118e25 Black Clothingo Yehkiatsi (Yejiaji, Yeji) 葉家集31n51 115e54 Ye Family Gathero Yingshang 潁上nnn Ying River Uppero Yinkiahwei (Yinjiahui) 殷家匯30n29 117e21 Yin Family Convergeo Yosi (Yuexi)岳西(Tiantang) 32n41 115e43o Yüntsao (Yuncao) 運漕31n26 118e05 Transport Canalo Yushihchieh (Yushijie) 魚市路sub-office in Wuhu Fish Market Roado Yüting 漁亭29n51 117e58 Fish PavilionCHEKIANG – Zhejiang 浙江Winding River 城杭o Anchang 安昌30n09 120e29 Safe Prosperouso Anchi (Anji) 安吉(Dipu 遞鋪) 30n37 119e40 Safe Joy Deliver Store o Chaikiao (Chaiqiao) 柴橋29n52 121e55 Firewood Bridgeo Chaki (Chakai? Chaxi?) 垞溪near Jiande Cha Creeko Changan 長安30n27 120e26 Long Safeo Changhing (Changxing) 長興(Zhicheng--) 31n04 119e54 LongFlourisho Changhwa (Changhua)昌化30n10 119e12 Prosperous Transform o Changkiao (Zhangqiao) 樟橋near Ningbo 29n55 121e34?o Changshan 常山(Tianma 天麻) 28n54 118e30 Chang Mountain, Heaven Hempo Chapu (Zhapu) 乍浦30n36 121e04 First Time Shoreo Chenghsien (Shengxian) 嵊縣(Shengzhou) 29n35 120e48 Sheng District CityChinghofang 清河坊sub-office in Hangchow Clear River Squareoo Chinhai (Zhenhai) 鎮海29n57 121e43 Town Seao Chowhong (Zhouhang) 周巷30n09 121e02 Complete Laneo Chuhsien 衢縣 (Chuchow, Quzhou衢州) 28n58 118e51Thoroughfare Districto Chuki (Zhuji)諸暨29n43 120e14 Many Attaino Fenghwa (Fenghua) 奉化29n39 121e24o Fengkiao (Fengqiao)楓橋29n47 120e23 Maple Tree Bridgeo Fenshui 分水29n56 119e26 Divide Watero Fotang 佛堂29n12 120e00 Buddha Hallo Fusiaokiao (Huxiaoqiao) 虎嘯橋30n40 121e09o Fuyang 富陽30n03 119e56 Wealth Suno Haimen 海門(Jiaojiang 椒江) 28n40 121e25 Sea Gate, Pepper River o Haining 海寧(Hsiashih, Xiashi--) 30n32 120e41 Sea Tranquilityo Haiyen (Haiyan, Wuyuan) 海鹽30n31 120e56 Sea Salto Hanghsien 杭縣(Hangchow, Hangzhou 杭州) 30n15 120e10 Hang Cityo Hangtung Shop (Hangtong Shangchang) 杭通商場o Hushan 滸山(Tzeki, Cixi 慈溪) 30n13 121e14 Riverbank Mountain, Benevolent Creeko Hushih 湖--sub-office in Hangchowo Hwangyen (Huangyan) 黃巖28n39 121e16 Yellow Caveo Hwapu (Huabu)華埠29n01 118e20 Flowery Porto Hweichengtakiao (Huizhengdaqiao)惠政大橋near Fenghua 奉化29n39 121e24 Beneficial Government Great Bridgeo Ikiao (Yiqiao) 義橋30n04 120e11 Charity Bridgeo Iwu (Yiwu) 義烏29n19 120e04 Charity BlackJihsinchieh (Xixinjie) 日新街sub-office in Ningpo Sun New Streetoo Juian (Ruian) 瑞安27n47 129e38 Wind Safeo Kaihwa (Kaihua)開化29n08 118e24 Open Transformo Kangkow (Gangkou) 港口near Chunan 29n37 119e03 Harbor Mouth o Kashan (Jiashan) 嘉善(Weitang 魏塘) 30n51 120e54 Excellent Kind, Wei Kingdom Pondo Kashing (Kiasing, Jiaxing 嘉興) 30n46 120e45 Excellent Flourisho Kenshamen (Genshamen) 艮山門sub-office in Hangchowo Kiachih (Jiazhi) 葭沚28n41 121e24o Kiangkow (Jiangkou)江口near Ninghsieno Kiangshan (Jiangshan) 江山28n44 118e50 River Mountaino Kienkiao (Jianqiao) 筧橋30n19 120e13 Bamboo Waterpipe Bridge o Kienteh (Jiande) 建德29n33 119e29 Establishment Virtueo Kikow (Xikou) 溪口Creek Mouth manyo Kingning (Jingning) 景寧(Hexi 鶴溪) 27n57 119e38 Bright Tranquil, Crane Creeko Kingyüan (Qingyuan) 慶原(Songyuan 鬆源) 27n37 119e03 Celebrate Primary, Song River Sourceo Kinhwa (Jinhua) 金華29n06 119e39 Gold Magnificento Kokiao (Keqiao) 柯橋30n04 120e27 Handle Bridgeo Kuanhsiangkou 官巷口sub-office in Hangchow Government Lane Moutho Kuaotow (Gu'aotou) 古鰲頭presumably upstream from Aojiang27n36 120e32 Ancient Ao River Heado Kulowchien 鼓樓前sub-office in Ningpo Drum Building Fronto Kungchenkiao (Gongchenqiao) 拱宸橋拱辰橋30n19 120e08 Arch Fifth Earthly Branch Bridgeo Kwanhaiwei (Guanhaiwei) 觀海衛near Cixi 30n13 121e14 View Sea Protecto Lanchi (Lanxi) 蘭溪29n12 119e27 Orchid Creeko Leitien (Leidian) 雷甸30n33 120e07 Lei Imperial Domaino Linan (Lin'an) 臨安30n13 119e42 Approach Safeo Linghu 菱湖30n43 120e10 Water Caltrop Lakeo Linhai 臨海(Taichow 台州) 28n50 121e06 Approach Sea, PlatformCityo Linping 臨平30n25 120e17 Approach Peaceo Linpu 臨浦30n02 120e15 Approach Shoreo Lishui麗水(Chuchow 處州)28n27 119e55 Beautiful Water, Reside Cityo Lisihu --西湖sub-office in Hangchowo Lotokiao (Luotuoqiao) 駱駝橋(Luotuozhen 駱駝鎮) 29n59 121e35 Camel Humpbacked Bridgeo Lukiao (Luqiao) 路橋28n34 121e22 Road Bridgeo Lungchüan (Longquan) 龍泉28n05 119e09 Dragon Springo Lunghsiangkiao 龍翔橋sub-office in Hangchow Dragon Soar Bridgeo Lungyu (Longyou) 龍游29n02 119e11 Dragon Swimo Maan (Ma'an)馬鞍30n08 120e34 Horse Saddleo Mokanshan(Moganshan) 莫干山30n36 119e52 Do Not Dry Mountain o Nansingkiao (Nanxingqiao) 南星橋near Hangchow South Star Bridgeo Nanzin (Nanxun) 南浔30n53 120e26 South Xun Rivero Ninghai 寧海29n18 121e25 Tranquil Seao Ningpo (Ningbo) 寧波(Ninghsien 寧縣) 29n52 121e31 Tranquil Wave, Tranquil Cityo Ouszekiao (Ouziqiao) 謳思橋near Cicheng 慈诚29n59 121e26 Sing Think Bridgeo Paitow (Paitou) 牌頭29n36 120e08 Signboard Heado Pehchengchilu 北城--路sub-office in Kashingo Pinghu 平湖30n42 121e01 Peace Lakeo Pingyang 平陽(Kunyang 昆陽)27n40 120e34 Peace Sun, Older Brother Suno Pingyao 瓶窑30n24 119e56 Vase Kilno Pishihhsiangkou 皮市巷口sub-office in Hangchow Fur Market Lane Moutho Pokwan (Baiguan) 百官30n00 120e51 Hundred Governmento Pukiang (Pujiang) 浦江(Puyang 浦陽) 29n27 119e52 Shore River, Shore River Suno Puyüan 濮院30n41 121e36o Shaohing (Shaoxing) 紹興30n01 120e35 Join Flourisho Shahotow (Shahetou) 沙河頭30n06 121e16 Sand River Heado Shangyü上虞(Baiguan 百官) 30n00 120e51 Upper Danger,Hundred Governmento Shanlien (Shanlian) 善璉30n42 120e17 Virtuous Offering Vesselo Shenkiamen (Shenjiamen) 沈家門29n57 122e17 Shen Family Gate o Shenshihkiao (Shenshiqiao) 沈市橋30n08 121e26 Shen Market Bridgeo Shentang (Shendang) 沈荡30n34 120e50 Shen Pondo Shihmenwan (Shimenwan, Shimen) 石門灣30n37 120e26 Stone Gate Bendo Showchang (Shouchang)壽昌near Jiande 建德29n21 119e13 Long Life Prosperouso Shunan (Chunan) 淳安(Pailing 排嶺) 29n37 119e03 Honest Safe, Row Ridgeo Siafangkiao (Xiafangqiao)下方橋30n08 120e32 Lower Square Bridgeo Siangshan (Xiangshan)象山(Dancheng 丹城) 29n28 121e52 Elephant Mountain, Cinnabar Cityo Siaofeng (Xiaofeng)孝豐30n38 119e29 Dutiful Abundanto Siaoshan (Xiaoshan) 蕭山30n10 120e16 Mournful Mountaino Siaowangmiao (Xiaowangmiao) 蕭王廟29n42 121e21 Xiao King Templeo Siashih (Xiashi) 硖石30n32 120e41 Xia Town Stoneo Siehkiao (Xieqiao) 斜橋30n37 121e01 Inclined Bridgeo Sienkü (Xianju) 仙居28n51 120e43 Immortal Dwello Sinchang (Xinchang) 新昌29n30 120e53 New Prosperouso Sinchen (Xinchen) 新塍near Jiaxing 30n46 120e45 New --o Sinshih (Xinshi) 新市30n37 120e18 New Marketo Sintai (Xindai)新埭30n49 121e05 New Damo Sinteng (Xindeng) 新登29n59 119e44 New Ascendo Sitang (Xitang) 西塘30n57 120e52 West Pondo Songlin (Shuanglin) 雙林30n47 120e19 Pair Foresto Süanping (Xuanping)宣平(Liucheng 柳城) 28n37 119e36 Announce Peace, Willow Cityo Suian (Sui'an) 遂安29n29 118e44 (now underwater) Satisfy Safeo Suichang 遂昌28n35 119e15 Satisfy Prosperouso Sungsia (Songxia)崧厦30n05 120e49 Lofty Mansiono Sungyang (Songyang) 松陽(Xiping 西屏) near Suichang 遂昌28n27 119e29 Pine Sun, West Shieldo Szean (Si'an) 泗安30n54 119e39 Si River? Safeo Taishan (Daishan) 岱山30n14 122e11 (Mount Tai in Shandong, a sacred mountain)o Taishun 泰順(Luoyang 羅陽) 27n34 119e43 Safe Obey, Luo Suno Takitow (Daqitou)大碶頭29n54 121e47 Great Watergate Heado Talu 大路sub-office in Shaohing Main Streeto Tangki (Tangxi)湯溪29n03 119e23 Soup Creeko Tangsi (Tangxi, Tangqi) 塘棲near Gongchenqiao 拱宸橋Pond Roost o Tiehchinglan(Tiejinglan) 鐵井欄sub-office in Wenchowo Tientai (Tiantai) 天台29n08 121e01 Heaven Platformo Tinghai (Dinghai) 定海(Zhoushan 舟山) 30n01 122e06 Calm Sea, Boat Mountaino Tsinghuchen (Qinghuzhen, Qinghu) 清湖鎮28n40 118e35 Clear Lake Towno Tsingtien (Qingtian) 靑田(Hecheng 合成?) 28n09 120e17 Blue Ricefield, Close Cityo Tsinyün (Jinyun) 縉雲(Wuyun 五雲) 28n39 120e03 Red Silk Cloud, Five Cloudo Tsungteh (Chongde) 崇德(Chongfu 崇福) 30n32 120e26 Dignified Virtue, Dignified Good Fortuneo Tunghiang (Tongxiang) 桐鄉(Wutong 梧桐) 30n37 120e32 Aleurites Township, Storehouse Aleuriteso Tungkiatiao (Dongjiatiao, Dongtiao) 董家跳nnn (Dong 揰家跳? is a newer form) near Jiangshan 29n45 121e31o Tungkwan (Dongguan) 東關30n06 120e49 East Passo Tunglu (Tonglu) 桐廬29n48 119e39 Aleurites Cottageo Tungshihchen (Dongshizhen)董市鎮near Ningboo Tungyang (Dongyang) 東陽(Wuning 武寧) 29n15 120e13 East Sun, Military Tranquilo Tzeki 慈谿(Cicheng 慈诚) 29n59 121e26 Gentle Creek, Gentle Honesto Wangtien (Wangdian) 王店30n37 120e42 King Inno Weiping 威平29n44 118e47 Power Peace iron mineo Weishan 巍山29n20 120e24 Mongolia Mountaino Wenchow (Wenzhou) 溫州(Yungkia 永嘉) 28n01 120e39 Warm City, Forever Excellento Wenkiayen (Wenjiayan, Wenyan) 聞家堰30n08 120e10 Wen Family Damo Wenling 温嶺28n22 121e21 Warm Ridgeo Wuchen (Wuzhen) 烏鎮30n45 120e29 Crow Towno Wufu 五夫near Yüyao 餘姚and Shangyu 上虞30n01 120e52 Five Meno Wuhing (Wuxing) 吳興(Huchow, Huzhou 湖州) 30n52 120e06 Wu Province Flourish, Lake Cityo Wukang (Wugang) 武岡near Hangzhou 杭州30n15 120e10Military Moundo Wuyi 武義28n53 119e47 Military Righteousnesso Yotsing (Yueqing) 樂清28n08 120e57 Cheerful Pureo Yüanhua (Yuanhua)袁花30n24 120e46 Robe Flowero Yühang 餘杭(Linping 臨平) 30n25120e18 Reminder Hang,Approach Safeo Yühwan (Yuhuan) 玉環28n08 121e14 (on Yuhuan Dao) Jade Ring o Yungkang (Yongkang) 永康(Guli 古麗) 28n52 120e02 ForeverPeaceful, Ancient Beautifulo Yünhwo (Yunhe)雲和28n07 119e34 Cloud Togethero Yütsien (Yuqian) 於潛30n11 119e24 In Hiddeno Yüyao 餘姚30n03 121e09 Reminder Yao Familyo Zakow (Zhakou) 閘口(near Hangzhou on Qiantang River) SluiceMouthFUKIEN – Fujian 福建Happy Establishment 海口埠o Amoy 厦門(Hsiamen, Ssuming, Xiamen 思明) 24n28 117e58 Tall Gate, Think Brighto Anhai 安海24n39 118e29 Safe Seao Anki (Anxi) 安溪(Fengcheng 鳳城) 25n03 118e11 Safe Creek,Phoenix Cityo Changhufan (Zhanghuban) 樟湖坂26n24 118e29 Camphor TreeLake Slopeo Changping (Zhangping) 漳平(Jingcheng 晋城) 25n17 117e24 ChangRiver Peaceo Changpu (Zhangpu)漳浦(Suian 綏安) 24n06 117e37 Chang RiverShore, Pacify Safeo Changtai 長泰24n37 117e45 Long Safeo Changting 長汀(Tingchow, Tingzhou 汀州) 25n52 116e19 Long Shoal, Shoal Cityo Chanyang (Zhanyang) 瞻陽near Fuqing 25n31 119e28 Look Sun o Chaoan (Zhaoan) 詔安(Nanzhao 南詔)23n43 116e35 Order Safe, South Ordero Chengho (Zhenghe) 政和(Xiongshan 熊山)27n22 118e50Government Together, Bear Mountaino Chinchiang 晋江(Chüanchow, Quanzhou 泉州) 24n55 118e35 Chin Dynasty River, Spring Cityo Chungan (Chongan, Chongcheng) 崇安27n45 118e01 Esteem Calm o Diongloh (Changle) 長樂25n58 119e31 Long Cheerfulo Engteng (Yungting 永定, Fengcheng 豐城) 24n44 116e44 Forever Calm, Abundant Cityo Fengshih (Fengshi)峰市24n40 116e35 (Feng is not right) Peak Stone o Fengting 楓亭25n15 118e50 Maple Pavilliono Foochow (Fuzhou) 福州(Minhow 閔侯) 26n04 119e17 Happiness Prefecture, Compassionate Marquiso Tamuigao Foochow Arsenalo Fuan 福安(Hanyang 韓陽) 27n05 119e38 Good Fortune Safe,Han SunFuhsinchieh 福新街sub-office in Foochow Happiness New Street oFukouchieh (Fukoujie) 府口街sub-office in Tsinkiang Palace Mouth Streetoo Futing (Fuding) 福鼎27n20 120e13 HappinessThrivingo Futsing (Fuqing) 福清(Rongcheng 容城) 25n43 119e23 Happiness Pure, Fit Cityo Haikow (Haikou) 海口25n41 119e28 Sea Gatewayo Haiteng (Haidang, Haicheng) 海澄24n24 117e50 Sea Pureo Hankong (Hanjiang) 涵江25n28 119e06 Contain RiverHengshanlu 横山路sub-office in Foochow Across Mountain Roadoo Hinghwa, Hinghwafu (Xinghuafu) 興化府renamed Putien, see below o Hunglai (Honglai) 洪瀨25n05 118e31 Flood RapidsHunglu (Honglu) 宏路25n42 119e17 Wide Roadoo Hungshankiao 洪山橋sub-office in Foochow Flood MountainBridgeo Hushih (Hushi)笏石25n19 119e05 Tablet Stoneo Hwaan 華安(Hwafeng, Huafeng 華豐) 25n01 117e31 Magnificent Safe, Magnificent Abundanto Hweian (Huian) 惠安(Luocheng羅城) 25n02 118e47 Beneficial Safe, Luo Cityo Kanshih (Kanshi) 坎市24n55 116e54 Threshhold Marketo Kaosanshih (Gaoshanshi, Gaoshan)高山市25n28 119e33 HighMountain Marketo Kiangkow (Jiangkou)江口25n29 119e11 River Moutho Kienning (Jianning, Jianingfu) 建寧府26n49 116e50 Establishment Tranquilo Kienow (Jianou) 建甌27n03 118e19 Establishment Bowlo Kienyang (Jianyang) 建陽27n18 118e06 Establishment Suno Kikow (Xikou) 溪口near Lianfeng 25n42 116e45 manyo Kikow (Xikou) 溪口東near Xianyou 25n22 118e41o Kintsing (Jinjing) 金井24n34 118e35 Gold Wello Kulangsü (Gulangyu) 鼓浪嶼sub-office in Amoy Drum Wave Island (sound of the surf)o Kuliang 鼓嶺(near or sub-office in Foochow) Drum Mountain Range (sound of the wind)o Kuseu (Huyu) 扈嶼25n54 119e20 Hu Islando Kushan (Gushan) 鼓山near 26n04 119e24 Drum Mountaino Kutien (Gutian) 古田(Xincheng---) 26n35 118e44 Ancient Ricefield o Kwantow (Guantou) 琯頭26n08 119e32 Jade Instrument Heado Lanku (Langu) 嵐谷27n55 118e13 Lan Mountain Valleyo Lengyong (Ningyang?) 寧洋? near Yongan 永安25n59 117e22o Liencheng (Liancheng) 連城(Lianfeng) 25n42 116e45 Join Cityo Lienkong (Lianjiang) 莲江(Fengcheng 鳳城) 26n11 119e32 Lotus River, Phoenix Cityo Loyang (Luoyang) 洛陽24n57 118e41 Luo Suno Loyüan (Luoyuan) 羅源26n29 119e32 Luo Sourceo Lungki 龍溪(Changchou, Zhangzhou 漳州) 24n31 117e40 Dragon Creek, Chang River Cityo Lungtien (Longtian) 龍田25n36 119e27 Dragon Fieldo Lungyen (Longyan) 龍岩25n06 117e01 Dragon Cliffo Mamoi(Mawei) 馬尾26n00 119e27 Horse Tailo Minshenglu 民生路sub-office in Amoy People Life Roado Mintsing (Minqing) 閩清(Meicheng 梅城) 26n13 118e51 Min River Clear, Plum Cityo Naman (Nan'an) 南安(Ximei) 24n58 118e23 South Safeo Nanchieh 南街sub-office in Foochow South Streeto Nansü (Nanjeui, Nanyu) 南嶼25n59 119e13 South Islando Nantsing (Nanjing) 南靖(Jingcheng 靖城) 24n34 117e30o Nanya 南雅26n52 118e17 South Eleganto Ninghwa (Ninghua) 寧化(Cuijiang 翠江) 26n16 116e38 Tranquil Transform, Green Rivero Ningteh (Ningde) 寧德26n39 119e31 Tranquil Virtueo Pagoda Anchorage – Foochow (Luoxingta羅星塔) Star-Studded Pagoda (near Mamoi at the Min River)o Paishuiying (Baishuiying, Baishui) 白水營24n20 117e52 White Water Trade,o Pinghwo (Pinghuo)平和(Jiufeng 九峰) 24n15 117e01 Peace Harmony, Nine Peako Pingnam (Pingnan) 屏南26n56 119e02 Screen Southo Pingtan 平潭25n32 119e47 (on Haitan Dao 海壇島) Peace Deepo Pucheng 浦城(Nanpu 南浦) 27n55 118e32 Shore City, South Shore o Punam (Punan) 浦南near Lungki 龍溪(Changchou, Zhangzhou 漳州) 24n38 117e37 Shore Southo Putien (Putian) 莆田25n26 119e01 Pu Fieldo Quemoy (Jinmen) 金門24n26 118e19 (on Jinmen Dao) Golden Gate o Saiki (Saiqi) 赛岐26n56 119e40 Complete Fork in the Roado Santuao (Sandu) 三都澳26n38 119e40 Three Capital Cityo Shacheng 沙埕27n10 120e24 Sand Jaro Shahsien (Shaxian) 沙縣(Fenggang 鳳崗?) 26n24 117e47 Sand City,Phoenix Ridgeo Shanghang 上杭25n05 116e30 Upper Hango Shanghangchieh 上杭街sub-office in Foochow Upper Hang Streeto Shangkan (Shanggan)尚幹now 尚干25n56 119e23 Esteem Trunk, Esteem Dryo Shangking (Shangjing) 上逕25n36 119e18o Shantowcheng (Shantoucheng) 山頭城near Yongchun25n20 118e17 Mountain Head Cityo Shaowu 邵武27n18 117e30 Shao Militaryo Shihchung (Shizhong) 適中24n57 117e06 Comfortable Middleo Shihma (Shima) 石馬24n27 117e49 Stone Horseo Shihshih (Shishi) 石獅24n44 118e38 Stone Liono Showning (Shouning) 壽寧(Aoyang 鰲陽) 27n27 119e29 Long Life Peaceful, Ao River Suno Shuiki (Shuiji) 水吉27n24 118e20 Water Good Fortuneo Shuikow (Shuikou) 水口26n22 118e44 Water Moutho Shunchang 順昌(Shuangxi 雙溪) 26n48 117e48 Obey Prosperous, Pair Creeko Siapu (Xiapu) 霞浦26n53 120e00 Rosy Clouds Shoreo Siatao (Xiadao) 下道near Nanping 南平26n34 118e15 Lower Street o Sienyu (Xianyou) 仙游(Licheng 鲤城) 25n22 118e41 Immortal Swim, Carp Cityo Siokhe (Xiaoxi)小溪24n23 117e20 Little Creeko Sipu (Xibu)西埔23n42 117e24 West Porto Sungki (Songxi) 松溪(Songyuan 松源) 27n31 118e46 Pine Creek o Sungki (Songxi) 嵩溪west 26n16 116e55 Lofty Creeko Sungkow (Songkou) 嵩口25n48 18e35? (near Foochow) Lofty MouthSzemingpeilu 思明北路sub-office in Amoy Think People North Roadoo Szuhsienchieh (Sixianjie) 絲線街sub-office in Lungkio Taining 泰寧(Shancheng 杉城) nnn 26n54 117e11 Safe Tranquil, Cedar Cityo Tangchioh (Dongshi) 東石24n40 118e28 East Stoneo Tanweichieh ? (Tanweikai) 潭尾街sub-office in Fuzhou in Taijiang districto Tatien (Datian) 大田(Junxi 均溪) 26n42 116e50 Great Field, FairCreeko Tehwa (Dehua) 德化(Longxun 龍潯) 25n30 118e14 Virtue Transform, Dragon Banko Tsianglo (Jiangle) 將樂26n43 117e27 Future Happyo Tsimei (Jimei) 集美24n34 118e05 Gather Beautifulo Tsingliu (Qingliu) 清流(Longjin 龍津) 26n12 116e48o Tsinkiang (Chinchiang) 晉江(Chüanchou, Quanzhou 泉州) 24n55 118e34 Jin Dynasty Rivero Tuchikou (Dujikou) 渡鷄口sub-office in Foochow Ferry Chicken Moutho Tungan (Tongan) 同安24n44 118e09 Same Safeo Tungshan (Dongshan) 東山(Xibu 西部)23n42 117e26 East Mountain, West Sectiono Wuping 武平25n05 116e05 Military Peaceo Yangkow (Yangkou) 洋口26n49 117e54 Ocean Moutho Yenping 延平?(Nanping 南平)26n39 118e10 Prolong Peace, South Peaceo Yuki (Youxi) 尤溪26n10 118e10 Especially Creeko Yüki (Yuxi) 漁溪"east" 25n36 119e18 Fish Creeko Yungan (Yongan) 永安25n59 117e22 Forever Safeo Yungchun (Yongchun) 永春(Taocheng)25n20 118e17 ForeverSpringtimeo Yungtai (Yongtai) 永泰25n52 118e56 Forever Safeo Yünsiao (Yunxiao) 雲霄23n58 117e20 Cloud SkyHONAN – Henan 河南River Southo Anyang 安陽(Changte 常德) 36n04 114e20 Safe Sun, CommonVirtueo Chaotsun (Zhaocun) 趙村33n37 113e21 Zhao Family Villageo Checheng (Zhecheng) 柘城34n04 115e17 Cudrania Cityo Chenghsien 鄭縣(Chengchow, Zhengzhou 鄭州) 34n45 113e38Serious Cityo Chengyang (Zhengyang) 正陽32n36 114e22 Justice Suno Chenliu 陳留34n40 114e31 Chen Family Stayo Chenping (Zhenping) 鎮平33n01 112e13 Town Peaceo Chientangli--塘里sub-office in Chenghsieno Chihsien (Jixian) 汲縣35n25 114e03 Draw Cityo Chihsien (Qixian)淇縣34n33 114e47 Qi River Cityo Chinlungkung (Jinglonggong) 荆隆宫34n58 114e19 Thorn GrandPalaceo Chowkiakow 周家口(Zhoukou 周口) 33n38 114e38 Complete Family Moutho Chumatien (Zhumadian) 駐馬店33n04 113e54 Stationed Horse Store o Chungmow (Zhongmou) 中牟n34n43 114e00 Middle BarleyChunglouhsiang 鐘樓巷sub-office in Anyang Clock Building Laneoo Chusienchen (Zhuxianzhen) 朱仙鎮34n37 114e15 Zhou Immortal Towno Fangcheng 方城33n52 113e48 Square Cityo Fengkiu (Fengqiu) 封邱35n02 114e24 Grant Hillo Fukow (Fugou) 扶溝34n03 114e22 Steady Ditcho Fushowchieh (Fushoujie) 福壽街sub-office in Chenghsieno Hiangcheng (Xiangcheng) 襄城33n51 113e28 Assist Cityo Hopingsintsun 和平新村sub-office in Loyang Together Peace New VillageHsienchienchieh 縣前街sub-office in Chenghsien Capitol Front Streetoo Hsüchang (Xuchang) 許昌34n01 113e48 Under Risingo Huochechan 火車站sub-office in Hsuchango Hwaiking (Huaiqing) 懷慶(Qinyang 沁陽) 35n05 112e56 BosomCelebrateo Hwahsien (Hwa Xian) 滑縣35n34 114e31 Slippery Cityo Hwaitien (Huaidian) 槐店33n38 114e38 Locust Tree Inno Hwaiyang 淮陽33n43 114e52 Hwai River Suno Hwanghokow (Huanghekou) 黄河口near Zhengzhou34n45 113e38 Yellow River Moutho Hweihingchen (Huixingzhen) 會興鎮suburb of Sanmenxia 三門峡34n46 111e11 Assemble Flourish Towno Hweihsien (Huixian) 輝縣35n28 113e48 Splendor Cityo Hwokia (Huojia) 獲嘉35n15 113e38 Obtain Joyfulo Ichwan (Yichuan)伊川34n27 112e26 Yi Rivero Iyang (Yiyang)伊陽34n30 112e09 Yi Suno Junan (Juning, Runan) 汝南33n01 114e21 You Southo Jungyang (Xingyang)滎陽34n47 113e21 Xing Suno Kaifeng 開封34n45 114e29 Open Granto Kaocheng 考城(Guyang 堌陽) 34n58 114e57 Test City, Dam Sun o Kiahsien (Jiaxian)郏縣33n58 113e12 Jia Countyo Kihsien (Qixian) 杞縣34n32 114e46 Willow Cityo Kikungshan (Jigongshan) 雞公山31n49 114e00 "CockerelMountain"。
江西省直 - 南昌航空大学医院
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新概念英语单词
新概念英语单词 IMB standardization office【IMB 5AB- IMBK 08- IMB 2C】L e s s o n 11 ['praivit] a.私人的2 [knv'sein] n.谈话3 ['θit] n.剧场，戏院4 [si:t] n.座位5 [plei] n.戏6 ['laudli] ad.大声地7 ['gri] a.生气的8 ['grili] ad.生气地9 ['tenn] n.注意10 [be] v.容忍11 ['biznis] n.事12 ['ru:dli] ad.无礼地，粗鲁地Lesson 21 [n'til, n'til] prep.直到2 [aut'said] ad.外面3 [ri]v.(铃、电话等)响4 [ɑ:nt] n.姑，姨，婶，舅妈5 [ri'pi:t] v.重复Lesson 31 [send] v.寄，送2 ['p?ustkɑ:d] n.明信片3 [sp?il] v.使索然无味，损坏4 [mju:'zi?m] n.博物馆5 ['p?blik] a.公共的6 ['frendli] a.友好的7 ['weit]n.服务员，招待员8 [lend] v.借给9 [di'si?n] n.决定10 [h?ul] a.整个的11 ['sigl] a.唯一的，单一的Lesson 41 [ik'saiti]a.令人兴奋的2 [ri'si:v] v.接受，收到3 [f:m] n.商行，公司4 ['difr?nt] a.不同的5 ['sent]n.中心6 ['br:d] ad.在国外Lesson 51 [pid?in] n.鸽子2 ['mesid]n.信息3 c ['uv] v.越过4 ['dist?ns] n.距离5 [ri'kwest] n.要求，请求6 [spe]part 备件7 ['s:vis] n.业务，服务Lesson 61 ['beg]n.乞丐2 [fu:d] n.食物3 ['p?kit] n.衣服口袋4 [k:l] v.拜访，光顾Lesson 71 [di'tektiv] n.侦探2 ['ep:t] n.机场3 [ik'spekt] v.期待，等待4 ['vljubl, -jubl] a.贵重的5 ['pɑ:sl] n.包裹6 ['daimnd] n.钻石7 [sti:l] v.偷8 [mein] a.主要的9 ['e?fi:ld] n.飞机起落的场地10 [gɑ:d] n.警戒，守卫11 ['pre?s] a.珍贵的12 [st?un] n.石子13 [s?nd] n.沙子Lesson 81 [kmpi'tin] n.比赛,竞赛2 [ni:t] a.整齐的，整洁的3 [pɑ:θ] n.小路，小径4 ['wudn] a.木头的5 [pu:l] n.水池Lesson 91 ['welk?m] n.欢迎 v.欢迎2 [kraud] n.人群3 ['ge] v.聚集4 [h?nd] n.(表或机器的)指针5 [aut] v.喊叫6 [ri'fju:z, ri'fju:s] v.拒绝7 [lɑ:f] v.笑Lesson 101 [d?z] n.爵士音乐2 ['mju:zik?l] a.音乐的3 ['instrum?nt] n.乐器4 ['klvik:d] n.古钢琴5 ['ri:s?ntli] ad.最近6 ['dmid] v.损坏7 [ki:] n.琴键8 [stri]n.(乐器的)弦9 [k, ɑk] v.使不悦或生气，震惊10 ['lau] v.允许，让11 [tt] v.触摸Lesson 111 [t:n] n.行为，举止2 [di'z:v] v.应得到，值得3 ['l:j] n.律师4 [b?k] n.银行5 ['slri] n.工资6 [i'mi:di?tli] ad.立刻Lesson 121 [l?k] n.运气，幸运2 ['k?ptin] n.船长3 [seil] v.航行4 ['ha:b]n.港口5 [praud] a.自豪6 [im'p:tnt] a.重要的Lesson 131 [gru:p] n.小组，团体2 流行歌手3 [kl?b] n.俱乐部4 [p'f:mns] n.演出5 ['kein] n.场合Lesson 141 ['mju:zi] a.好笑的，有趣的2 [ik'spirins] n.经历3 [weiv] v.招手4 [lift] n.搭便车5 [ri'plai] v.回答6 ['lgwid] n.语言7 ['d:ni] n.旅行Lesson 151 ['sekrtri, -teri] n.秘书2 ['n:vs] a.精神紧张的3 ['f:d] v.负担得起4 [wi:k] a.弱的5 [int'rpt] v.插话，打断Lesson 161 [pɑ:k] v.停放(汽车)2 ['tr?fik] n.交通3 ['tikit] n.交通法规罚款单4 [n?ut] n.便条5 ['eri] n.地点6 [sain] n.指示牌7 [ri'maind]n.指示8 [feil] v.无视，忘记9 ['bei] v.服从Lesson 171 ['pi] v.登场，扮演2 [steid]n.舞台3 [brait] a.鲜艳的4 ['stki] n.(女用)长筒袜5 [s?k] n.短袜Lesson 181 [p?b] n.小酒店2 ['lndl:d] n.店主3 [bil] n.帐单Lesson 191 ['h?ri] v.匆忙2 售票处3 ['piti] n.令人遗憾的事4 [ik'skleim] v.大声说5 [ri't:n] v.退回6 ['s?dli] ad.悲哀地，丧气地Lesson 201 [kt] v.抓到2['fimn] n.钓鱼人，渔民3 [bu:t] n.靴子4 [weist] n.浪费5 ['ri?laiz] v.意识到Lesson 211 [m?d] a.发疯2 ['ri:z?n] n.原因3 [s?m] n.量4 [di't:mind] a.坚定的，下决心的Lesson 221 [dri:m] v.做梦，梦想2 [eid]n.年龄3 ['tnl] n.海峡4 [θr?u] v.扔，抛Lesson 231 [k?m'pli:t] v.完成2 ['mdn] a.新式的，与以往不同的3 [streind]a.奇怪的4 ['distrikt] n.地区Lesson 241 ['mnid] n.经理2 [p'set] a.不安3 [simp'θetik] a.表示同情的4 [k?m'plein] v.抱怨5 ['wikid] a.很坏的，邪恶的6 [k?n'tein] v.包含，内装7 ['nisti] n.诚实Lesson 251 ['reilwei] n.铁路2 ['p:t] n.搬运工3 ['sevrl] 几个4 ['frin] n.外国人5 ['wnd] v.感到奇怪Lesson 261 [ɑ:t] n.艺术2 ['kritik] n.评论家3 [peint] v.画4 [pri'tend] v.假装5 ['p?tn] n.图案6 ['k:tn] n.窗帘，幕布7 [m'tiril] n.材料8 ['pri:ieit] v.鉴赏9 ['n?utis] v.注意到10 ['wee]conj.是否11 [h]v.悬挂，吊12 ['kritik?li] ad.批评地13 ['psaid] down 上下颠倒地Lesson 271 [tent] n.帐篷2 [fi:ld] n.田地，田野3 [smel] v.闻起来4 ['wndful] a.极好的5 ['kmpfai] n.营火，篝火6 [kri:p] v.爬行7 ['sli:pi]睡袋8 ['kmftbl] a.舒适的，安逸的9 ['s?undli] ad.香甜地10 [li:p] v.跳跃，跳起11 ['hevili] ad.大量地12 [stri:m] n.小溪13 [f:m] v.形成14 [wind, waind] v.蜿蜒15 [rait] ad.正好Lesson 28 1 [re]a.罕见的2 ['ein?nt] a.古代的，古老的3 [miθ] n.神话故事4 ['trbl] n.麻烦5 [i'fekt] n.结果，效果6 [mi'dju:z]n.美杜莎(古希腊神话中3位蛇发女怪之一) 7 ['g:gn] n.(古希腊神话中的)3位蛇发女怪之一Lesson 291 ['t?ksi] n.出租汽车2 皮勒特斯·波特(飞机机名)3 [l?nd] v.着陆4 [plau] v.耕地5 ['l?unli] a.偏僻的，人迹罕至的6 [wel]a.威尔士的7 [ru:f] n.楼顶8 [bl?k] n.一座大楼9 [fl?t] n.公寓房10 ['dez?t] v.废弃Lesson 301 ['pulu] n.水球2 Wayle 威尔（河名）3 [k?t] v.穿过4 [r?u, rou] v.划(船)5 [kik] v.踢6 [t'w:dz] prep.朝，向7 ['ni?li] ad.几乎8 [sait] n.眼界，视域Lesson 311 [ri'tai]v.退休2 ['kmpni] n.公司3 ['baisik()l] n.自行车4 [seiv] v.积蓄5 ['w:kp] n.车间6 ['help]n.帮手，助手7 [im'pl?i] v.雇佣8 ['grnsn] n.孙子Lesson 321 [w?ns] ad.曾经，以前2 [temp'tei?n] n.诱惑3 ['ɑ:tik?l] n.物品，东西4 [r?p] v.包裹5 ['simpli] ad.仅仅6 ['rest] v.逮捕Lesson 331 ['dɑ:knis] n.黑暗2 [ik'splein] v.解释，叙述3 [k?ust] n.海岸4 [st:m] n.暴风雨5 [t'w:dz] prep.接近6 [r?k] n.岩石，礁石7 [:] n.海岸8 [lait] n.灯光9 ['hed] ad.在前面10 [klif] n.峭壁11 ['str?gl] v.挣扎12 ['h?spitl] n.医院Lesson 341 ['stei?n] n.(警察)局2 [m?ust] ad.相当，非常Lesson 351 [wail] n.一段时间2 [ri'gret] v.后悔3 [fɑ:] ad.非常4 [r]v.冲5 [kt] v.行动6 [streit] ad.径直7 [frait] n.害怕8 ['btd] a.撞坏的9 [':tli] ad.很快，不久10 ['a:ftwdz] ad.以后Lesson 361 ['rek:d, ri'k:d] n.记录2 [str]a.强壮的3 ['swim]n.游泳运动员4 [s?k'si:d] v.成功5 [trein] v.训练6 ['ksli] ad.焦急地7 [in'tend] v.打算8 ['s?lid] a.固体的，硬的Lesson 371 ['limpik] a.奥林匹克的2 [h?uld] v.召开3 ['gvnmnt] n.政府4 [i'mens] a.巨大的5['steidi?m] n.露天体育场6 ['stndd] n.标准7 ['k?pitl] n.首都8 [fn'tstik] a.巨大的9 [di'zain] v.设计Lesson 381 [ik'sept] prep.除了[medit'reinin] n.(the～)地中海3 [k?m'plein] v.抱怨4 [kn'tinjuli] ad.不断地5 ['bit?li] ad.刺骨地6 ['snain] n.阳光Lesson 391 [p'rein] n.手术2 [sk'sesfl] a.成功的3 ['flui] a.下一个4 ['pei?nt] n.病人5 ['lun] a.独自的6 [iks'teind] n.(电话的)交换台7 [in'kwai]v.询问，打听8 ['s:tn] a.某个9 ['k:l] n.打电话的人10 ['rel?tiv] n.亲戚Lesson 401 ['h?ustis] n.女主人2 ['n'smaili] a.不笑的，严肃的3 [tait] a.紧身的4 [fiks] v.疑视5 [gl?ub] n.地球6 [di'spe]n.绝望Lesson 411 [ru:d] a.无礼的2 ['mir]n.镜子3 [h?ul] n.孔4 [ri'mɑ:k] v.评说5 [ri'maind] v.提醒6 ['laithaus] n.灯塔Lesson 421 ['mju:zik?l] a.精通音乐的2 ['mɑ:kit] n.市场，集市3 [sneik] charmer 玩蛇者(通常借音乐控制)4 [paip] n.(吹奏地)管乐器5 [tju:n, tu:n] n.曲调6 [glimps] n.一瞥7 [sneik] n.蛇8 ['mu:vm?nt] n.动作9 [k?n'tinju:] v.继续10 [dɑ:ns] v.跳舞11 ['bvisli] ad.显然12 ['difr?ns] n.差别13 ['indi?n] a.印度的Lesson 431 [p?ul] n.(地球的)极2 [flait] n.飞行3 [ik'spl:r] n.探险家4 [lai] v.处于5 ['siris] a.严重的6 [p?int] n.地点7 [si:m] v.似乎，好像8 [kr]v.坠毁9 [s?k] n.袋子10 [kli]v.越过11 ['e?krɑ:ft] n.飞机12 ['endlis] a.无尽的13 [plein] n.平原Lesson 441 ['f?rist] n.森林2 [risk] n.危险，冒险3 ['piknik] n.野餐4 [ed]n.边缘5 [str?p] n.带，皮带6 [p'zen] n.所有7 [breθ] n.呼吸8 ['k:ntents] n.(常用复数)内有的物品9 [mend] v.修理Lesson 451 [kli]a.无罪的，不亏心的2 ['knns] n.良心，道德心3 ['wɑ:lit] n.皮夹，钱夹4 ['seivi?z] n.存款5 ['vilid]n.村民6 [p'sent] 百分之…Lesson 461 [n'lud] v.卸(货)2 ['wudn] a.木制的3 [ik'stri:mli] ad.非常，极其4 ['k:] v.发生5 ['stni] v.使惊讶6 [pail] n.堆7 ['wul?n] n.羊毛的8 [gudz] n.(常用复数)货物，商品9 [dis'kv] v.发现10 [d'mit] v.承认11 [k?n'fain] v.关在(一个狭小的空间里)12 ['n:ml] a.正常的，通常的Lesson 471 ['θ:sti] a.贪杯的2 [g?ust] n.鬼魂3 [h:nt] v.(鬼)来访，闹鬼4 [bl?k] v.堵5 ['f:nit] n.家具6 ['wiski] n.威士忌酒7 [s'dest] v.暗示8 [eik] v.摇动9 [k'sept] v.接受Lesson 48 1 [pul] v.拔2 ['k?tn] wool 药棉3 [k'lekt] v.搜集4 [k'lekn] n.收藏品，收集品5 [n?d] v.点头6 ['mi:n'wail] ad.同时Lesson 491 ['tai?d] a.厌烦的2 [ri?l] a.真正的3 ['un] n.主人4 [spri]n.弹簧5 ['m?tris] n.床垫6 [g?st] n.一阵风7 [swi:p] v.扫，刮8 ['k:tjɑ:d] n.院子9 [sm]v.碰碎，摔碎10 [mi'rkjulsli] ad.奇迹般地11 [n'h:t] a.没有受伤的12 [glɑ:ns] v.扫视13 ['pr?mptli] ad. 迅速地Lesson 501 [raid] n.旅行2 [ik'sk:n] n.远足3 [kn'dkt] n.售票员4 [vju:] n.景色Lesson 511 [ri'w:d] n.报偿2 ['v:tu:] n.美德3 ['dai?t] n.节食4 [f'bid] v.禁止5 ['h?ridli] ad.匆忙地6 [im'brs] v.使尴尬7 ['giltili] ad.内疚地8 [strikt] a.严格的9 [ri'w:d] v.给奖赏10 ['keinli] ad.偶尔地Lesson 521 ['temprrili] ad.暂时地2 [int]n.英寸(度量单位)3 [speis] n.空间4 ['ktuli] ad.实际上Lesson 531 [h?t] a.带电的，充电的2 ['faimn] n.消防队员3 [k:z] v.引起 n.原因4 [ig'z?min] v.检查5 [ksi'dentli]ad.意外地,偶然地6 [ri'meinz] n.尸体，残骸7 ['wai]n.电线8 [v?ult] n.伏特(电压单位)9 电力线10 [s?lv] v.解决11 ['mist?ri] n.谜12 [snt] v.抓住13 [spɑ:k] n.电火花Lesson 541 ['stiki] a.粘的2 ['fig] n.手指3 [pai] n.馅饼4 [miks] v.混合，拌和5 ['peistri] n.面糊6 ['nii] a.恼人的7 [ri'si:v]n.电话的话筒8 [dis'mei] v.失望，泄气9 ['rek?gnaiz] v.认出，听出10 [p'sweid] v.说服，劝说11 [mes] n.乱七八糟12 ['d:nb] n.门把手13 [sain] v.签字14 ['redist] v.挂号邮寄Lesson 551 [g?uld] n.金子2 [main] n.矿3 ['tre]n.财宝4 [ri'vi:l]n.探测器5 [in'vent] v.发明6 [di'tekt] v.探测7 ['beri] v.埋藏8 [keiv] n.山洞9 ['si::] n.海岸10 ['pairt] n.海盗11 [ɑ:m] v.武装12 [s?il] n.泥土13 ['entr?ns] n.入口14 ['fain?li] ad.最后15 ['w:θl?s] a.毫无价值的16 ['θrli] ad.彻底地17 [tr?k] n.行李箱18 ['knfidnt] a.有信心的19 ['v?lju:] n.价值Lesson 561 [saund] n.声音2 [ik'saitm?nt] n.激动，兴奋3 ['hndsm] a.漂亮的，美观的4 ['rlz'ris] 罗尔斯—罗伊斯5 n.奔驰6 [wi:l] n.轮子7 [ik'splun] n.爆炸，轰响8 [k:s] n.跑道；行程9 ['raiv?l] n.对手10 [spi:d] v.疾驶11 [daun'hil] ad.下坡Lesson 57['mdm] n.(对妇女的尊称)太太，夫人2 [d?i:nz] n.牛仔裤3 ['heziteit] v.犹豫，迟疑4 [s:v] v.接待(顾客)5 ['sk:nfuli] ad.轻蔑地6 ['pni] v.惩罚7 [f:] n.裘皮8 ['i:g]a.热切的，热情的Lesson 581 ['blesi]n.福分，福气2 [dis'gaiz] n.伪装3 ['taini] a.极小的4 [p'zes] v.拥有5 ['k:sid] a.可恨的6 [in'kri:s, 'inkri:s] v.增加7 [plɑ:nt] v.种值8 [t:t] n.教堂9 ['i:v?l] a.坏的10 [repju'tei?n] n.名声11 [kleim] v.以…为其后果12 ['viktim] n.受害者，牺牲品13 ['vik]n.教区牧师14 [s:s] n.来源15 ['ink?m] n.收入16 [tr?k] n.树干Lesson 591 [bɑ:k] v.狗叫2 [pres] v.按压3 [p:] n.脚爪4 [lt] n.门闩5 ['eksp:t] n.专家6 [di'vel?p] v.养成7 ['h?bit] n.习惯8 [ri'mu:v] v.拆掉，取下Lesson 601 ['fju:t]n.未来，前途2 [fe]n.集市3 ['f:tn'tel] n.算命人4 ['krist?l] n.水晶5 [ri'lei?n] n.亲属6[im'pei?ntli] ad.不耐烦地Lesson 611 ['h?bl] n.哈勃2 ['telisk?up] n.望远镜3 [l:nt] v.发射4 [speis] n.空间5 ['ns] 国家航空和宇宙航行局6 ['bilj?n] 亿7 ['f:lti] a.有错误的8 ['strn:t] n.宇航员9 ['tl] n.宇航飞机10 [in'dev]n.“奋进”号11 n.机器手12 [gr?b] v.抓13 ['tmsfi] n.大气层14 ['dist?nt] a.遥远的15 ['glksi] n.星系16 ['ju:niv:s] n.宇宙17 鹰眼Lesson 621 [kn'trul] n.控制2 [sm?uk] n.烟3 ['des?leit] a.荒凉的4 ['θretn] v.威胁5 [s'raundi] a.周围的6 [di'strkn] n.破坏，毁灭7 [fl?d] n.洪水，水灾8 [:'θriti] n.(常用复数)当局9 ['gra:s'si:d] n.草籽10 [sprei] v.喷撒11 ['kwntti] n.量12 [ru:t] n.根13 ['sent?ri] n.世纪14 [pt] n.小片15 ['blkn] v.变黑，发暗Lesson 631 ['s:kl] n.圈子2 [d'mai] v.赞美，钦佩3 [kl?uz] a.亲密的4 ['wedi]n.婚礼5 [ri'sep?n] n.执行会6 [s: t] n.种类Lesson 641 ['t?nl] n.隧道2 [p:t] n.港口3 ['ventileit] v.通风4 ['t?imni] n.烟囱5 海平面6 ['dbl] a.双的7 [venti'lein] n.通风8 [fi]v.害怕9 [in'vei?n] n.入侵，侵略10 ['fili] ad.正式地11 [k'nekt] v.连接12 [jur'pi:n] a.欧洲的13 ['kntinnt] n.大陆Lesson 651 ['v:ss] prep.对2 ['krism?s] n.圣诞节3 ['s:ks] n.马戏团4 [pri'zent, 'prez?nt] n.礼物5 ['kmpni] v.陪伴，随行6 ['prut] v.走近7 [:t] modal verb 应该8 [wei] v.重9 ['f:tnt] a.幸运的Lesson 661 ['lkst] n.兰开斯特2 ['bm] n.轰炸机3 [ri'm?ut] a.偏僻的4 [p'sifik] n.太平洋5 ['dmid] v.毁坏6 [rek] n.残骸7 [ri:di'skv] v.重新发现8 ['eril] a.航空的9 ['s:vei] n.调查10 ['reskju:] v.营救11 ['pkid] v.把…打包12 [in'θju:zi?st] n.热心人13 [ri'st:] v.修复14 [i'mdin] v.想像15 ['pki] case 包装箱16 ['klni] n.群17 [bi:] n.蜂18 [haiv] n.蜂房19 [pri'z:v] v.保护20 ['bi:zw?ks] n.蜂蜡Lesson 671 [vl'keinu] n.火山2 ['ktiv] a.活动的3 n. 基伍湖4 ['k?gou] n.(the～)刚果5 n.基图罗6 [i'r?pt] v.(火山)喷发7 ['vailntli] ad.猛烈地，剧烈地8 ['mnid] v.设法9 ['brili?nt] a.精彩的10 ['likwid] a.液态的11 [i'skeip] v.逃脱12 ['laiv] a.活着的Lesson 681 [p'sistnt] a.坚持的，固执的2 ['vid] v.避开3 [in'sist] v.坚持做Lesson 69 1 ['m:d] n.谋杀2 [in'str?kt] v.命令，指示3 ['kwai] v.取得，获得4 ['knfidns] n.信心5 [ig'zmin] n.主考人6 [s'puz] v.假设7 [t?p] v.轻敲8 [ri'kt] v.反应9 [breik] n.刹车10 ['ped?l] n.踏板11 ['m:nful] a.悲哀的Lesson 701 ['bulfait] n.斗牛2 [dr?k] n.醉汉3 ['wnd, 'wɑ:n:dr] v.溜达，乱走4 [ri]n.圆形竞技场地5 [n'we] a.不知道的，示觉察的6 [bul] n.公牛7 ['mtd:] n.斗牛士8 [ri'mɑ:k] n.评论；言语9 ['prntli] ad.明显地10 ['sensitiv] a.敏感的11 ['kritisiz?m] n.批评12 [tɑ:d] v.冲上去13 ['kl?mzili] ad.笨拙地14 [bau] v.鞠躬15 ['seifti] n.安全地带16 [simp'θetik?li] ad.同情地Lesson 711 ['pɑ:lmnt] n.议会，国会2 [i'rekt] v.建起3 ['kjurt] a.准确的4 ['fil] n.官员，行政人员5 ['grinid]n.格林威治6 [b'z:vtri] n.天文台7 [t?ek] v.检查8 ['maikrfun] n.扩音器，麦克风9 ['tau]n.塔Lesson 721 ['reisi]n.竞赛2 [p:] prep.每3 ['ju:tɑ:] n.犹他(美国州名)4 ['h:spau] n.马力5 [b:st] v.爆裂6 ['vrid] a.平均的7 ['futstep] n.足迹Lesson 731 ['rek:d'huld] 纪录保持者2 ['tru:nt] n.逃学的孩子[ni'mdintiv] a.缺乏想象力的4 [eim] n.惭愧，羞耻5 ['hit?haik] v.搭便车旅行6 ['mi:ntaim] n.其间7 ['l?ri] n.卡车8 ['b:d] n.边界9 [i'veid] v.逃避，逃离Lesson 741 ['laimlait] n.舞台灯光2 [pri'k:n] n.预防措施3 [f?n] n.狂热者，迷4 ['eidi] a.遮荫的5 ['erif] n.司法长官6 ['n?utis] n.告示7 [sni]n.冷笑Lesson 751 [θik] a.厚的2 ['sign?l] n.信号3 [st?mp] v.跺，踩4 ['helikpt] n.直升飞机5 [si:n] n.现场6 [s'vaiv] n.幸存者Lesson 761 [fu:l] n.傻瓜2 ['bul?tin] n.亲闻简报3 ['nauns] n.(电视、电台)播音员4 [mk'runi] n.通心面，空心面条5 ['li:di]a.主要的6 ['gru] n.种植者7 ['splendid] a.极好的8 [st:k] n.梗9 ['ge] v.收庄稼10 [θre]v.打(庄稼)11 ['pr?uses] v.加工12 ['si:nj:] n.(意大利语)先生13 [pri'zent, 'prez?nt] a.目前的14 ['tmpin] n.冠军15 ['stju:di?u] n.播音室Lesson 771 ['m?mi] n.木乃伊2 [i'dipn] a.埃及的3 ['temp?l] n.庙4 [mɑ:k] n.斑点5 [pleit] n.(照相)底片6 [di'zi:z] n.疾病7 [lɑ:st] v.持续8 [pru:v] v.显示出9 ['rezin] n.树脂10 [skin] n.皮，皮肤11 ['sek?n] n.切片12 ['fig]n.(人的)体形；人像13 ['n:mli] ad.通常地14 [s'vaiv] v.幸免于Lesson 781 [in'taitl] v.以…为名2 [kɑ:m] v.使镇定3 [n:v] n.神经4 [knsn'trein] n.集中，专心5 ['sf] v.受苦，受害6 ['simpt?m] n.症状7 ['temp]n.脾气8 ['pitait] n.胃口，食欲9 [pr'dju:s, 'prdju:s] v.拿出10 [:d] v.力劝，怂恿11 [stis'fkn] n.满意，满足12 [di'laitid] a.欣喜的Lesson 791 ['pernt] n.父(母)亲2 ['flait tendnt] 空中乘务员3 ['fraitnd] a.害怕，担惊4 ['kjuris] a.急于了解，好奇的5 [b?m] n.炸弹6[plɑ:nt] v.安放Lesson 801 ['p?lis] n.宫殿2 [ik'str:dinri] a.不平常的.非凡的3 [eksi'bi()n] n.展览4 ['ai?n] n.铁5 ['veris] a.各种各样的6 [m'i:nri] n.机器7 [di'splei] n.展览8 [sti:m] n.蒸汽9 ['pr?fit] n.利润10 ['klid] n.学院Lesson 811 ['prizn] n.囚犯2 [bu]n.灌木丛3 ['r?pidli] ad.迅速地4 ['ju:nif:m] n.制服5 ['raifl] n.来福枪，步枪6 ['uld] n.肩7 [mɑ:t]v.行进8 ['b?uldli] ad.大胆地9 [bleiz] v.闪耀10 [s'lu:t] v.行礼11 ['eld?li] a.上了年纪的12 [grei] a.灰白的13 [ɑ:p] a.猛烈的14 [bl?u] n.打击Lesson 821 ['mnst] n.怪物2 ['seil]n.海员3 [sait] v.见到4 ['kri:t]n.动物，生物5 [pi'kju:li]a.奇怪的，不寻常的6 ['aini] a.闪闪发光的7 [':fi] n.桨鱼Lesson 831 [i'lek?n] n.选举2 ['f:m] a.从前的3 [di'fi:t] v.打败4 [f'ntikl] a.狂热的5 ['punnt] n.反对者，对手6 ['rdikl] a.激进的7 [pr'gresiv] a.进步的8 (前缀，用于名词前)前…9 [s'spis] a.怀疑的Lesson 841 [straik] n.罢工2 ['bsmn] n.公共汽车司机3 [steit] v.正式提出，宣布4 ['gri:mnt] n.协议5 [ri'li:v] v.减轻6 ['pre]n.压力，麻烦7 [ik'stent] n.程度8 [vln'ti] v.自动提出，自愿9 ['gr?titju:d] n.感激10 [pres] n.新闻界11 ['bdikt b'dekt] v.不赞成，反对Lesson 851 [in'f:m] v.告诉，通知2 [hed'mɑ:st] n.校长3 [k?n'tribju:t] v.捐助，援助4 [gift] n.礼物，赠品5 ['lbm] n.签名簿，相册6 ['pei?ns] n.耐心7 [in'kridmnt] n.鼓励8 [fe'wel] n.告别9 ['n] n.敬意10 [ku'insidns] n.巧合11 ['t?utl] n.总数12 [di'v?ut] v.致力于13 ['gɑ:dni] n.园艺14 ['h?bi] n.爱好，嗜好Lesson 861 [swi]v.转向2 ['spi:db?ut] n.快艇3 ['desp?ritli] ad.绝望地4 [km'pnin] n.同伙，同伴5 (由快艇牵引水橇)滑水6 [b?i] n.浮标7 [dis'mei] n.沮丧8 [tri'mend?s] a.巨大的9 ['petr?l] n.汽油10 [drift] v.漂动，漂流11 ['d?entli] ad.缓慢地，轻轻地Lesson 871 ['libai] n.不在犯罪现场2 [k'mit] v.犯(罪、错)3 [in'spekt]n.探长4 [im'pli] n.雇主5 [kn'f:m] v.确认，证实6 [s'dest] v.提醒7 [tru:θ] n.真相Lesson 881 [tr?p] v.陷入，使陷于困境2 ['s:fis] n.地面，表面3 [ik'spl?usiv] n.炸药4 [vai'brei?n] n.震动5 [k'lps] v.坍塌6 [dril] v.钻孔7 ['k?psju:l] n.容器8 ['lei]n.层9 [bi'ni:θ] prep.在…之下10 ['lu] v.放下，降低11 ['prugres, pr'gres] v.进展，进行12 ['smu:eli] ad.顺利地Lesson 891 [slip] n.小错误2 ['k?midi] n.喜剧3 [pri'zent, 'prez?nt] v.演出 a.出席，到场的4 [kju:] v.排队5 [d?l] a.枯燥，无味6 [ɑ:'ti:st] n.艺人7 ['dvtaiz] n.报幕员Lesson 901 [t?ip] n.油煎豆片2 [uv'fi] v.过度捕捞3 ['daint] a.巨大的4 ['terifai] v.吓，使恐怖5 ['daiv]n.潜水员6 ['il rig] 石油钻塔7 [wit] n.(复数)理智，头脑8 [keid]n.笼9 [ɑ:k] n.鲨鱼10 [weil] n.鲸11 [v'raiti] n.品种12 [k?d] n.鳕13 [skeit] n.鳐14 ['fkt] n.因素15 [kru:] n.全体工作人员Lesson 911 [b' lu:n] n.气球2 ['ril] a.皇家3 [spai] v.侦察4 [tr?k] n.轨迹，踪迹5 [bi'nkjulz] n.望远镜Lesson 921 [fɑ:st] ad.熟(睡)2 ['ld] n.梯子3 [ed] n.棚子4 [sɑ:'k?stik, sɑr-] a.讽刺的，讥笑的5 [t?un] n.语气，腔调Lesson 931 ['nubl] a.高尚的，壮丽的2 ['mnjumnt] n.纪念碑3 ['sttu:] n.雕像4 ['lib?ti] n.自由5 [pri'zent, 'prez?nt] v.赠送6 ['sklpt] n.雕刻家7 ['ktul] a.实际的，真实的8 ['kp] n.铜9 [s'p:t] v.支持，支撑10 ['freimw:k] n.构架，框架11 [trn'sp:t] v.运送12 [sait] n.场地13 ['pedistl] n.底座Lesson 941 [in'str?kt] v.指导，传授2 [ls'ndili:z] 洛杉矶3 [ri'lktnt] a.勉强的，不愿意的4 [weit] n.重物5 [nd'w:t] a.水下的6 ['traisik?l] n.三轮车7 [k?m'pi:t] v.比赛，对抗8 [jɑ:d] n.码9 [gɑ:sp] v.喘气Lesson 951 ['fntsi] n.幻想故事2 [m'bsd] n.大使3 Escalopia 艾斯卡罗比亚3 ['fraitf?l] a.可怕的，令人吃惊的4 灭火器5 ['draili] ad.冷淡地，枯燥无味地6 ['emb?si] n.大使馆7 ['hev?n] n.天，天堂8 [ 'beism?nt] n.地下室9 ['definitli] ad.肯定地10 [p?ust] v.派任11 [t] n.子弹Lesson 961 ['festiv?l] n.节日2 ['lntn] n.灯笼3 ['spektkl] n.景象，壮观，场面。
An Edge Guided Image Interpolation Algorithm via Directional Filtering and Data Fusion
An Edge Guided Image Interpolation Algorithm via DirectionalFiltering and Data FusionLei Zhang*a, Member, IEEE, and Xiaolin Wu† b, Senior Member, IEEEa Dept. of Computing, The Hong Kong Polytechnic UniversityHung Hom, Kowloon, Hong Kongb Department of Electrical and Computer Engineering, McMaster UniversityHamilton, Ontario, Canada, L8S 4K1Abstract: Preserving edge structures is a challenge to image interpolation algorithms that reconstruct a high resolution image from a low resolution counterpart. We propose a new edge-guided non-linear interpolation technique through directional filtering and data fusion. For a pixel to be interpolated two observation sets are defined in two orthogonal directions, and each set produces an estimate of the pixel value. These directional estimates, modeled as different noisy measurements of the missing pixel are fused by the linear minimum mean square-error estimation (LMMSE) technique into a more robust estimate, using the statistics of the two observation sets. We also present a simplified version of the LMMSE-based interpolation algorithm to reduce computational cost without sacrificing much the interpolation performance. Experiments show that the new interpolation techniques can preserve edge sharpness and reduce ringing artifacts.Key Words: Image interpolation, edge preservation, LMMSE, data fusion.* Corresponding author. Email: johnray@mail.ece.mcmaster.ca.† Supported in part by Natural Sciences and Engineering Research Council of Canada Grants: IRCPJ 283011-01 and RGP45978-2000.1.IntroductionMany users of digital images desire to improve the native resolution offered by imaging hardware. Image interpolation aims to reconstruct a higher resolution (HR) image from the associated low resolution (LR) capture. It has applications in medical imaging, remote sensing and digital photographs [3-5], etc. A number of image interpolation methods have been developed [1-2, 5-6, 8-16]. While the commonly used linear methods, such as pixel duplication, bilinear interpolation and bicubic convolution interpolation, have advantages in simplicity and fast implementation [7], they suffer from some inherent defects, including block effects, blurred details and ringing artifacts around edges. With the prevalence of inexpensive and relatively low resolution digital imaging devices and the ever increasing computing power, interests in and demands for high-quality image interpolation algorithms have also increased.The human visual systems are highly sensitive to edge structures, which convey much of the image semantics, so a key requirement for image interpolation algorithms is to faithfully reconstruct the edges in the original scene. The traditional linear interpolation methods [1-3, 5-6] do not work very well under the edge preserving criterion. Some nonlinear interpolation techniques [8-15] were proposed in recent years to maintain edge sharpness. The interpolation scheme of Jensen and Anastassiou [8] detects edges and fits them by some templates to improve the visual perception of enlarged images. Li and Orchard [9] used the covariance of the LR image to estimate the HR image covariance, which represents the edge direction information to some extent, and proposed a Wiener-filtering like interpolation scheme. Since this method needs a relatively large window to compute the covariance matrix for each missing sample, it may introduce some artifacts in local structures due to sample statistics change and hence the incorrect estimation of covariance. The image interpolator by Carrato and Tenze [10] first replicates the pixels and then corrects them by using some preset 3×3 edge patterns and optimizing the parameters in the operator. Muresan [15] detected the edge in diagonal and non-diagonal directions and then recovered the missing samples along the detected direction by using 1-D polynomial interpolation.Some nonlinear interpolation methods try to enlarge an image by predicting the fine structures in the high resolution image from its low resolution counterpart. To do so a multiresolution representation of theimage is needed. Takahashi and Taguchi [11] represented an image by Laplacian pyramid, and with two empirically determined parameters, they estimated the unknown high frequency components from the low resolution Laplacian detail signal. In the past two decades, wavelet transform (WT) theory [17] has been well developed and it endows a good multiresolution framework for signal representation. WT decomposes a signal into several scales, along which the signal sharp edges have some correlation. Carey et al [12] exploited the Lipschitz property of sharp edges in wavelet scales. They used the modulus maxima information at coarse scales to predict the unknown wavelet coefficients at the finest scale. Then the HR image is constructed by inverse WT. Muresan and Parks [14] extended this strategy by using the entire cone influence of a sharp edge in wavelet scale space, instead of only the modulus maxima, to estimate the finest scale coefficients through optimal recovery theory. The wavelet-based interpolation method by Zhu et al [13] uses a parametric discrete time model to characterize important edges. With this model, in wavelet domain the lost edge information at the finest scale is recovered through linear minimum mean square-error estimation (LMMSE). The above schemes employ, implicitly or explicitly, an isolated sharp edge, such as an ideal or smoothed step edge, in the algorithm development. For real images, however, the wavelet coefficients of a sharp edge may be interfered by the neighboring edges. Generally, nonlinear interpolation methods are better at edge preservation than linear methods. In [16], Malgouyres and Guichard analyzed some linear and nonlinear image enlargement methods theoretically and experimentally.Compared with the discontinuities in one-dimensional signals, edges in two-dimensional images have one more property: the direction. In the linear interpolation methods, one-dimensional filtering is done alternatively in horizontal and vertical directions without heeding the local edge structures. In the presence of a sharp edge if a missing sample is interpolated across instead of along the edge direction, large and visually disturbing artifacts will be introduced. A conservative strategy to avoid most severe artifacts is to use an isotropic two-dimensional filter. This however reduces the edge sharpness. A more “assertive” approach is to interpolate in an estimated edge direction. The problem with the latter is that the penalty toimage quality is high if the estimated edge direction is wrong, which can happen due to the difficulty in determining the edge direction from insufficient data provided by the low resolution image.This paper proposes a new balanced approach to the problem. A missing sample is interpolated in not one but two mutually orthogonal directions. The two interpolation results are treated as two estimates of the sample and adaptively fused using the statistics of a local window. Specifically, we partition the neighborhood of each missing sample into two oriented subsets in orthogonal directions. The hope is that the two observation sets will exhibit different statistics, since the missing sample has higher correlation with its neighbors in the edge direction. Each oriented subset yields an estimate of the missing pixel. The pixel is finally interpolated by combining the two directional estimates in the principle of LMMSE. This process can discriminate the two subsets in terms of their coherence to the missing sample, and make the subset perpendicular to the edge direction contribute less to the LMMSE estimate of the missing sample. The above new approach performs significantly better than linear interpolation methods in preserving edge sharpness while suppressing artifacts, by adapting interpolation to local image gradient. A drawback of the proposed interpolation approach is its relatively high computational complexity. We also develop a simplified interpolation algorithm of greatly reduced computation requirement but without significant degradation in performance.The paper is organized as follows. Section 2 describes our edge guided LMMSE-type image interpolation algorithm. Section 3 presents a simplified version of the algorithm, striving for fast, practical implementations. Section 4 reports the experimental results. Section 5 concludes.2. Edge Guided LMMSE-based InterpolationAs in many previous papers, we assume an LR image l Ι is directly down-sampled from an associated HR image through h Ι)12,12(),(−−=m n m n h l ΙΙ, N n ≤≤1, M m ≤≤1. Referring to Fig. 1, the black dots represent the available samples of l Ι and the white dots represent the missing samples of h Ι.The interpolation problem is to estimate the missing samples in HR image h Ι, whose size is M N 22×, from the samples in LR image , whose size is l ΙM N ×.Figure 1. Formation of a low resolution (LR) image from a high resolution (HR) image by directly down-sampling. The black dots represent the LR image pixels and the white dots represent the missing HR samples.The central issue of image interpolation is how to infer and utilize the information on the missing sample that is hidden in the neighboring pixels. If the down-sampled signal of the LR image exceeds the Nyquist sampling limit, the convolution-based interpolation methods will suffer from the aliasing problem in reconstructing the HR image. This is the cause of artifacts such as ringing effects in the interpolated images which are common to linear interpolation methods. Given that the human visual system is highly sensitive to the edges, especially in their spatial locations, it is crucial to suppress the interpolation artifacts while retaining the edge sharpness and geometry.The edge direction is the most important information for the interpolation process. To extract and use this information, we partition the neighboring pixels of each missing sample into two directional subsets that are orthogonal to each other. From each subset a directional interpolation is made, and then the two interpolated values are fused to arrive at an LMMSE estimate of the missing sample. We recover the HR image in two steps. First, those missing samples h Ι)2,2(m n h Ι at the center locations surrounded byfour LR samples are interpolated. Second, the other missing samples )2,12(m n h −Ι and )12,2(−m n h Ι are interpolated with the help of the already recovered samples )2,2(m n h Ι.A. The interpolation of samples)2,2(m n h Ι12,12(),(−−=m n m n h l ΙΙ12,12(),1(−+=+m n m n h l ΙΙ)12,12()1,(+−=+m n m n h l Ι )12,12()1,1(++=++m n m n h Ι)2,2(m n h ΙFigure 2. Interpolation of the HR samples )2,2(m n h Ι. Two estimates of )2,2(m n h Ι are made in the 45º and 135ºdirections as two noisy measurements of . )2,2(m n h ΙReferring to Fig. 2, we can interpolate the missing HR sample )2,2(m n h Ι along two orthogonal directions: 45-degree diagonal and 135-degree diagonal. Denote by and the two directional interpolation results by some linear methods, such as bilinear interpolation, bicubic convolution or spline interpolation [1-5]. Consider the directional interpolation outputs as the noisy measurements of the missing HR sample:)2,2(ˆ45m n Ι)2,2(ˆ135m n Ι⎩⎨⎧+=+=)2,2()2,2()2,2(ˆ)2,2()2,2()2,2(ˆ1351354545m n m n m n m n m n m n h h υΙΙυΙΙ (2-1) where the random noise variables 45υ and 135υ represent the interpolation errors in the corresponding direction.To fuse the two directional measurements and into a more robust estimate, we rewrite (2-1) into matrix form:45ˆΙ135ˆΙV 1Y +⋅=h Ι (2-2)where⎥⎦⎤⎢⎣⎡=13545ˆˆΙΙY , and ⎥⎦⎤⎢⎣⎡=111⎥⎦⎤⎢⎣⎡=13545υυV Now the interpolation problem is to estimate the unknown sample h Ι from the noisy observation Y . This estimation can be optimized in minimum mean square-error sense. To obtain the minimum mean square-error estimation (MMSE) of , i.e., h Ι[]h h h h h d p E ΙΙΙΙΙ)/(ˆY Y ∫==, we need to know the probability density function . In practice, however, it is very hard to get this prior information or )/(Y h p Ι)/(h Y p Ι cannot be estimated at all. Thus, in real applications LMMSE is often employed instead of MMSE. To implement LMMSE, only the first and second order statistics of h Ι and Y are needed, which may be estimated adaptively.From (2-2) the LMMSE of can be calculated as [18] h Ι()()()])[(,ˆ1Y Y Y Y E Var Cov h h h −+=−ΙµΙ (2-3)where ][h h E Ιµ=, is the co-variance operator, and we abbreviate as , the variance operator. Through the LMMSE operation, fuses the information provided by directional measurements and .()]])[])([[(T E E E Cov B B A A B A,−−=()A A,Cov ()A Var h Ιˆ45ˆΙ135ˆΙLet , . Through intensive experiments on 129 images, including outdoorand indoor images, portraits, MRI medical images and SAR images, etc., we found that and. Thus noise vector V can be considered to be zero mean. Denote by and the normalized correlation coefficients of ][4545υµυE =][135135υµυE =045≈υµ0135≈υµ1c 2c 45υ and 135υ with h Ι:])[(])[()]()[(22454545451h h h h E E E c µΙµυµΙµυυυ−−−⋅−=, ])[(])[()]()[(221351351351352h h h h E E E c µΙµυµΙµυυυ−−−⋅−=Our experiments also show that the values of and are very small. Thus we consider 1c 2c 45υ and 135υ, and consequently V , to be nearly uncorrelated with h Ι. With the assumption that V is zero mean and uncorrelated with , it can be derived from (2-3) thath Ι)()(ˆ122h T h T h h h µσσµΙ⋅−+⋅⋅+=−1Y R 111V (2-4)where and . To implement the above LMMSE scheme for , parameters ()h h Var Ισ=2()V R V Var =h Ιh µ, and need to be estimated for each sample 2h σV R )2,2(m n h Ι in a local window.First let’s consider the estimation of h µ and . Again referring to Fig. 2, the available LR samplesaround are used to estimate the mean and variance of 2h σ)2,2(m n h Ι)2,2(m n h Ι. Denote by W a window that centers at and contains the LR samples in the neighborhood of . For estimation accuracy we should use a sufficiently large window as long as the statistics is stationary in W . However, in a locality of edges the image exhibits strong transient behavior. In this case drawing samples from a large window will be counterproductive. To balance the conflicting requirements of sample size and sample consistency, we propose a Gaussian weighting in the sample window W to account for the fact that the correlation between )2,2(m n h Ι)2,2(n m h Ι)2,2(m n h Ι and its neighbors decays rapidly in the distance between them. The further an LR sample is from )2,2(m n h Ι, the less it should contribute to the mean value of . We compute )2,2(m n h Ιh µ as∑∑=l kh k l k l ),(),(G W µ (2-5) where )2exp(21),(2222ζπζy x y x +−=G is a 2D Gaussian filter with scale ζ. The variance of is computed as)2,2(m n h Ι()∑∑−=l kh h k l k l ),(),(22G W µσ (2-6)Next we discuss the estimation of , the co-variance matrix of V . Using (2-1) and the assumption that V R 45υ and 135υ are zero mean and uncorrelated with h Ι, it can be easily derived that()()()()⎩⎨⎧−=−=213513524545ˆˆh h Var v Var Var v Var σΙσΙ (2-7)Since has been estimated by (2-6), we need to estimate 2h σ()45ˆΙVar and ()135ˆΙVar in a local window to arrive at (45)υVar and (135)υVar . For this we associate with a set of its neighbors in the 45° diagonal direction. Denote by the vector that centers at :45ˆΙ45Z )2,2(ˆ45m n Ι{}""),22,22(ˆ),1,(),2,2(ˆ),,1(),22,22(ˆ,45454545+−++−+=m n m n m n m n m n l l ΙΙΙΙΙZ (2-8) Set encompasses and its neighbors, i.e., the original samples and the directional (45º diagonal) interpolated samples. Symmetrically, we define the sample set for associated with interpolated results in the 135º diagonal: 45Z 45ˆΙ135Z 135ˆΙ{}""),22,22(ˆ),1,1(),2,2(ˆ),,(),22,22(ˆ,135135135135++++−−=m n m n m n m n m n l l ΙΙΙΙΙZThe estimates of ()45ˆΙVar and ()135ˆΙVar are computed as:()()∑−=k h k k Var )()(ˆ24545g Z µΙ and ()()∑−=k h k k Var )()(ˆ2135135g Z µΙ (2-9) where )2exp(21)(22ξξπx x −=g is a 1D Gaussian filter with scale ξ. Now (45)υVar and (135)υVar can be computed by (2-8), and finally the co-variance matrix can be estimated asV R ()()()()()()⎥⎥⎦⎢⎢⎣⎡⋅⋅⋅⋅=13513545313545345υυυυυυVar Var Var c Var Var c Var V R (2-10)where is the normalized correlation coefficient of 3c 45υ with 135υ:])[(])[()]()[(21351352454513513545453υυυυµυµυµυµυ−−−⋅−=E E E cAlthough 45υ and 135υ are nearly uncorrelated with h Ι, they are somewhat correlated to each other because and have some similarities due to the high local correlation. We found that the values of are between 0.4 and 0.6 for most of the test images. The correlation between 45ˆΙ135ˆΙ3c 45υ and 135υ varies, from relatively strong in smooth areas to weak in active areas. In the areas where sharp edges appear, which is the situation of our concern and interests, the values of are sufficiently low, and we can assume that 3c 45υ and 135υ as uncorrelated with each other without materially affecting the performance of the proposed interpolation algorithm in practice. In practical implementation, , the correlation coefficient between 3c 45υ and 135υ, can be set as 0.5 or even 0 for most natural images. Our experiments reveal that the interpolation results are insensitive to . Varying from 0 to 0.6 hardly changes the PSNR value and visual quality of the interpolated image.3c 3c If a sharp edge presents in in or near one of the two directions (the 45º diagonal or the 135º diagonals), the corresponding noise variances h Ι()45υVar and ()135υVar will differ significantly from each other. By the adjustment of in (2-4), the interpolation value or , whichever is in the direction perpendicular to the edge, will contribute far less to the final estimation result . The presented technique removes much of the ringing artifacts around the edges, which often appear in the interpolated images by cubic convolution and cubic spline interpolation methods.V R 45ˆΙ135ˆΙh ΙˆB. The interpolation of samples and )2,12(m n h −Ι)12,2(−m n h ΙAfter the missing HR samples are estimated, the other missing samples )2,2(ˆm n h Ι)2,12(m n h −Ι and can be estimated similarly, but now with the aid of the just estimated HR samples. Referring to Fig. 3 (a) and (b), the LR image pixels )12,2(−m n h Ι),(m n l Ι are represented by black dots “●”, while the estimated samples by symbols “8”. The samples that are to be estimated are represented by white dots “○”. As illustrated in Fig. 3, the missing sample )2,2(ˆm n h Ι)2,12(m n h −Ι or can be estimated in one direction by the original pixels of the LR image, and in the other direction by the already interpolated HR samples. Similar to (2-2), the two directional approximations of the missing sample are considered as the noisy measurements of )12,2(−m n h Ι)2,12(m n h −Ι or )12,2(−m n h Ι, and then the LMMSE of the missing sample can be computed in a similar way as described in the previous section. Finally, the whole HR is reconstructed by the proposed edge guided LMMSE interpolation technique.h Ι2,2(m n h Ι2,12(m n h −Ι2,22(n h −Ι,(m n l Ι)2,m Ι)12,2(−m n Ι (a) (b)Figure 3. Interpolations of the missing HR samples (a) )2,12(m n h −Ι and (b) )12,2(−m n h Ι. The symbols “8” represent the already recovered samples . The two estimates of )2,2(m n h Ι)2,12(m n h −Ι or are madein horizontal and vertical directions. and )12,2(−m n h Ι)2,12(m n h −Ι)12,2(−m n h Ι are estimated similarly to . )2,2(m n h Ι3. A Simplified LMMSE Interpolation AlgorithmIn interpolating the HR samples, the LMMSE technique of (2-4) needs to estimate h µ, , , andcompute the inverse of a matrix. This may amount to too heavy a computation burden for some 2h σV R 22×applications that need high throughput. Specifically, if we set h µ be the average of the four nearest LR neighbors of to reduce computation, then computing h Ιh µ needs 3 additions and 1 division andcomputing needs 7 additions, 4 multiplications and 1 division. By setting the size of vector and as 5 and setting 2hσ45Z 135Z ()(){}13545,υυVar Var diag =V R , i.e. 03=c , in (2-10) to reduce the computational cost, we still need 20 additions and 20 multiplications to compute . The remaining operations in (2-4) include 9 additions, 8 multiplications and 1 division. In total the algorithm needs 39 additions, 32 multiplications and 3 divisions to compute a with (2-4).V R h ΙˆOne way to reduce the computational complexity is to judiciously invoke the LMMSE algorithm only for pixels where high local activities are detected, and use a simple linear interpolation method in smooth regions. Since edge pixels represent minority in the total sample population, this will lead to significant savings in computations. In addition, we present a simplified version of the LMMSE-based interpolation algorithm while only slightly decreasing the performance.We can see that the LMMSE estimate of HR sample h Ι is actually a linear combination of ,and 45ˆΙ135ˆΙh µ. Referring to (2-4) and let , then 122)(−+⋅⋅=V R 111T h T h σσΓΓ is a 2-dimensional vector andwe rewrite (2-4) as:h h µΓΙΓΙΓΙ)1(ˆˆˆ13524511⋅−+⋅+⋅= (3-1)where and are the first and second elements of 1Γ2ΓΓ. We empirically observed that )1(1⋅−Γ is close to zero, and hence h µ has light effect on . In this view can be simplified to a weighted average of and , while the weights depend largely on the noise covariance matrix .h Ιˆh Ιˆ45ˆΙ135ˆΙV R Instead of computing the LMMSE estimate of h Ι, we determine an optimal pair of weights to make a good estimate of . The strategy of weighted average leads to significant reduction in complexity over the exact LMMSE method. Leth Ιˆh Ι1351354545ˆˆˆΙΙΙ⋅+⋅=w w h (3-2)where . The weights and are determined to minimize the mean square-error (MSE) of : {}. 113545=+w w 45w 135w h Ιˆ])[(2113545ˆmin arg ,13545h h w w E w w ΙΙ−==+Although the measurement noises of and , i.e., 45ˆΙ135ˆΙ45υ and 135υ, are correlated to some extent, their correlation is sufficiently low to consider 45υ and 135υ as being approximately uncorrelated. This assumption holds better in the areas of edges that are critical to the human visual system and of interests to us. In fact, if 45υ and 135υ are highly correlated, that is to say, the two estimates and are close to each other, then varies little in and anyway. With the assumption that 45ˆΙ135ˆΙh Ιˆ45w 135w 45υ and 135υ are approximately uncorrelated, we can show that the optimal weights are()()()1354513545υυυVar Var Var w +=451351w w −=, (3-3) It is quite intuitive why the weighting scheme works. For instance, for an edge in or near the 135° diagonal direction, the variance (45)υVar is higher than ()135υVar . From (3-3) we see that will be less than and consequently has less influence on than , and vice versa. To compute 45w 135w 45ˆΙh Ιˆ135ˆΙ(45)υVar and (135)υVar as described in section 2, however, we still need 30 additions, 24 multiplications and 2 divisions. In order to further simplify and speed up the computation of and , we use the following approximations:45w 135w ()2514545)(~⎟⎠⎞⎜⎝⎛−≡∑=k h k Var µυZ , ()25145135)(~⎟⎠⎞⎜⎝⎛−≡∑=k h k Var µυZ (3-4) where “≡~” means nearly equivalent to. With the above simplification, we only need 23 additions, 2 multiplications and 2 divisions to obtain and . Finally with (3-2), we only need 24 additions, 4 multiplications and 2 divisions to get . This yields a significant computational savings compared with 45w 135w h Ιˆ(2-4), which needs need 39 additions, 32 multiplications and 3 divisions. Table 1 lists the operation counts of the simplified algorithm and the LMMSE algorithm.Table 1. Operations needed for the LMMSE algorithm and the simplified algorithm.Operation Addition Multiplication DivisionLMMSE algorithm 39 32 3Simplified algorithm 24 4 2As we will see in the next section, the simplified algorithm only has slightly lower PSNR result than the LMMSE algorithm, while its output images are virtually indistinguishable from those of the latter.4.Experimental ResultsThe proposed image interpolation algorithms were implemented and tested, and their performance was compared with some existing methods. We down-sampled some HR images to get the corresponding LR images, from which the original HR images were reconstructed by the proposed and competing methods. Since the original HR images are known in the simulation, we can compare the interpolated results with the true images, and measure the PSNR of those interpolated images.Table 2. The PSNR (dB) results of the recovered HR images by the eight algorithms, where the LR image is directly down-sampled from the HR image as shown in Fig. 1.Peppers Cloth ButterflySplashImage HolesLenaConvolution 23.26 28.95 33.22 28.84 28.92 27.28 Bicubicspline 22.91 28.78 33.17 28.63 28.71 27.23BicubicMethod in [8] 19.44 28.62 32.60 28.75 28.83 27.03Method in [9] 22.17 29.39 33.31 29.21 29.24 27.60 LMMSE_INTR_cubic 25.18 29.28 33.90 29.28 29.30 28.11LMMSE_INTR_linear 23.89 29.14 32.81 29.21 29.06 27.67OW_INTR_cubic 24.55 29.19 33.70 29.15 29.13 27.85OW_INTR_linear 23.37 29.10 33.17 29.15 28.93 27.35The presented LMMSE-based interpolator was compared with the bicubic convolution interpolator, the bicubic spline interpolator, the subpixel edge detection based interpolator of Jensen and Anastassiou [8], and the Wiener-filtering like interpolator of Li and Orchard [9]. To assess the sensitivity of the proposed interpolation algorithms to different initial directional estimates prior to fusing, they were tested when coupled with bicubic and bilinear convolution interpolators respectively. In the table and figure legends, the LMMSE method developed in section 2 is labeled LMMSE_INTR_cubic or LMMSE_INTR_linear, depending on if bicubic or bilinear convolution interpolator is used to obtain initial directional estimates. Likewise, the simplified method in section 3 is labeled OW_INTR_cubic (OW stands for optimal weighting) or OW_INTR_linear. In the experiments, we set the scale ζ of 2D Gaussian filter G (referring to (2-5)) around 1 and scale ξ of 1D Gaussian filter g (referring to (2-9)) around 1.5.The PSNR results of the eight algorithms for the six test images are listed in Table 2. The proposed LMMSE_INTR_cubic algorithm achieves the highest PSNR results on all test images, except for image Lena, for which it has a slightly lower PSNR than the method in [9].Our experimental results also call attention to a fact that the proposed methods are insensitive to their choice of the initial directional interpolators. Even with bilinear interpolation, which usually gets considerably worse result than bicubic interpolation, the final fused result is very close to that of bicubic interpolation, especially in terms of visual quality (the PSNR values are slightly lower as shown in Table 2). Fig. 4 and 5 show the interpolated images Lena and Butterfly of the LMMSE_INTR_cubic and LMMSE_INTR_linear methods. In visual effects the two methods are almost indistinguishable. This demonstrates the power of LMMSE-based data fusing strategy in correcting much of the interpolation errors of traditional linear methods.Fig. 6 presents the experimental results of a pattern image, Holes. Fig. 6 (a) is the original image, and (b) ~ (f) are the interpolated images by the bicubic convolution, the method in [8], the method in [9], the LMMSE_INTR_cubic and OW_INTR_cubic methods respectively. The interpolated images of the。
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证券代码：002396 证券简称：星网锐捷公告编号：临2020-41
福建星网锐捷通讯股份有限公司
关于收购控股子公司福建星网智慧科技有限公司45%股权的公告
本公司及董事会全体成员保证公告内容真实、准确和完整，不存在虚假记载、误导性陈述或者重大遗漏。
一、交易概述
（一）概述
福建星网锐捷通讯股份有限公司（以下简称“公司”、“本公司”或“买方”）基于公司整体战略规划的需求，公司与控股子公司福建星网智慧科技有限公司（以下简称“智慧科技”或“目标公司”）的股东福建元和通投资合伙企业（有限合伙）（以下简称：“元和通”或“卖方”）签订《股权转让协议》与《业绩承诺与补偿协议》，公司计划收购元和通持有的智慧科技45%的股权。
收购完成后，公司将通过直接和间接方式持有智慧科技100%股权。
（二）审批程序
上述交易已经公司第五届董事会第二十四次会议审议通过，本次交易在公司董事会审批权限内，无需提交股东大会审议。
（三）根据《深圳证券交易所股票上市规则》的规定，本次交易不构成关联交易，不构成《上市公司重大资产重组管理办法》规定的重大资产重组。
二、交易对方的基本情况
（一）基本情况
1、企业名称：福建元和通投资合伙企业（有限合伙）
2、类型：有限合伙企业
3、主要经营场所：平潭综合实验区金井湾片区商务营运中心6号楼5层511室-3658（集群注册）
4、执行事务合伙人: 徐亮
5、经营范围：对第一产业、第二产业、第三产业的投资（不含金融、证劵、期货、财务）
6、股权结构：
（二）与公司关系
交易的对手方与本公司不存在关联关系。
三、交易标的基本情况
（一）交易标的概况
（四）与公司关系
四、交易协议的主要内容
（一）关于股权转让标的
经各方同意，元和通向公司转让的目标股权为元和通持有目标公司45%的股权（对应出资额4,500万元）。
（二）关于股权转让价款及支付
1、股权转让价款
根据福建中兴资产评估房地产土地估价有限责任公司出具的闽中兴评字（2020）第BF70007号《资产评估报告》，以目标公司2020年5月31日（评估基准日）股东全部权益评估价值为基础，选用收益法评估结果作为评估结论，即福建星网智慧科技有限公司股东全部权益（净资产）账面值为人民币15,978.37万元，经采用收益法评估后，在满足本报告中所述的全部评估假设和限制条件下的其股东全部权益（净资产）评估值为人民币108,740.00万元（大写人民币大写壹拾亿零捌仟柒佰肆拾万元整），增值92,761.63万元，增值率580.55%。
经买方与卖方协商一致，确定本次目标公司45%股权转让的价格为48,600万元（交易总额）。
2、股份支付方式：
（1）本协议生效后十个工作日内，买方向卖方支付第一笔转让款为交易总额的50%，即24,300万元。
（2）目标公司完成股权过户（以目标公司股东及股权变更工商登记手续办理完毕为准）后十个工作日内，买方向卖方支付第二笔转让款为交易总额的50%，即24,300万元。
3、股份支付的资金来源
股份支付的资金来源为公司自有资金。
（三）业绩承诺期间和承诺净利润数
1、双方同意业绩承诺期间为本次交易实施完毕后连续三个会计年度（含本次交易实施完毕当年）。
2、卖方就目标公司在业绩承诺期内实现的净利润作出承诺并承担补偿义务。
3、卖方承诺业绩承诺期间目标公司的承诺净利润为：
2020、2021和2022年三个会计年度累计实现净利润数额合计不低于27,000万元。
（净利润：指目标公司合并报表口径下归属于母公司股东的净利润，净利润值以扣除非经常性损益前后的孰低值计算。
）
（四）实际实现净利润数及利润差额的确定
双方同意，本次交易实施完毕后，在业绩承诺期间各个会计年度结束后，买方将聘请具有证券业务资格的会计师事务所对各个年度目标公司的盈利情况出具专项审核意见，并在上市公司年度报告中披露。
目标公司实际净利润数以及与承诺净利润的利润差额以具有证券业务资格的会计师事务所出具的标准无保留意见的专项审核意见为准。
（五）业绩承诺超额实现
若卖方在业绩承诺期间累计实现的实际净利润数高于累计承诺净利润数，买方同意将累计实现的实际净利润数超出累计承诺净利润的差额部分以现金方式奖励给目标公司的高级管理层及核心员工，奖励总额为超额业绩部分的30%。
（六）业绩承诺未实现的补偿义务
双方同意，在三个会计年度的业绩承诺期结束后，若卖方未完成上述承诺业
绩，则卖方承诺按如下公式对上市公司进行补偿，具体为：
应补偿金额=（1-三年累计实现净利润数额÷三年累计承诺净利润数额）*48,600万元
（七）补偿的实施
于业绩承诺期结束后，依据具有证券从业资格的会计师事务所出具的专项审核意见，若存在业绩承诺补偿的，卖方应在专项审核意见出具后10个工作日内，将业绩承诺补偿款支付至买方指定账户。
（八）协议生效时间
本协议经双方法定代表人/执行事务合伙人或授权代表签字并加盖公章后成立，于下列各项要件全部成就时生效：
（1）买方董事会同意本次股权转让；
（2）卖方已履行了必要的内部程序同意本次股权转让；
（3）目标公司股东会同意本次股权转让。
（九）本次股权转让前后，智慧科技的股权结构变化如下：
单位：万股
五、本次股权收购的目的和对公司的影响
本次交易在会计核算上属于收购子公司少数股东权益，本次交易完成后，归属于上市公司股东的净利润将会得到提升，从而提高公司的股东回报。
本次交易完成后，智慧科技将成为公司的全资子公司，公司对智慧科技的控制力将得到进一步加强，不但使得公司的整体管理效率获得提升，还可以实现母子公司利益的一体化，公司资源实现更为有效的配置，对公司实现长期发展战略有着重要意义。
本次交易的资金来源为公司自有资金，该事项符合全体股东和公司利益，不会对本公司经营及财务状况产生不利影响，不存在损害公司及全体股东利益的情形。
六、备查文件
经与会董事签署的公司第五届董事会第二十四次会议决议。
特此公告。
福建星网锐捷通讯股份有限公司
董事会
2020年7月28日。