【测控专业英语】Signal Process信号处理

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他们是许多仪器系统的基础。在仪器中，他们使 用的起源可追溯到的早期的计算机使用，首先，机械 计算机器(19世纪后期到1930年)，然后到模拟电子设 备(20世纪初到20世纪60年代)，所有这些都从大约 1950年开始由于数字计算机的使用而被代替。
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All of these algorithmic methods of processing can be simplistically regarded as embodiments of a mathematical equation inside a suitable technological machine. • 所有的这些处理方法可以简单地看成是一个包 含适当的技术设备的数学方程具体化。 • As the demands complexity and performance requirements grew over time, so the did the demands on the detail of the algorithm and the means to model it inside a computational machine. •
• 随着算法复杂度的增长，处理能力必须提高以保持 精确和处理速度。 • Despite great advances being made in algorithm development and in computer power, the algorithmic methodology eventually encountered mathematical and technological barriers in many fields.
数学模型主要的缺点是迅速变得复杂，以致在 测量系统中这些模型运行通常是不能实现的。
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In this class, the single, or set of multiple, input signal(s) to the data processor is converted to the output form using tightly formulated mathematical description.
• 当我们似乎更喜欢信号处理数学方法的整体 客观性，现在证明，为了得到更好的速度性能和 低成本的处理，人工智能方法经常是更好的选择。
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Often they are the only solution since the algorithmic approach cannot be deployed because of the lack of a suitable mathematical formulation or powerful enough processor to run the algorithm.
在这类，单一的或多个输入信号的数据处理通 过密切使用数学描述转化为输出形式。
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Overview of Algorithmic Methods
• This relationship is called the algorithm. Strict relationships hold; the relationship is said to be formal, meaning that for any given input the output will always be the same. The algorithm supports only one interpretation.
因此，在现代仪器中的信号处理通常会使用 许多不同的方法。这个说明只是对各种形式特征 的一个介绍并被书写出来以帮助选择。空间的限 制阻止了各种方法的详细介绍。
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Main content
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Overview of Algorithmic Methods
Overview of Applied IntelligenceMethods Mapping in General
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Overview of Algorithmic Methods
• The major disadvantage of mathematical models is that they can quickly become so complex that implementation of these models in measurement systems is often impractical.
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Overview of Algorithmic Methods
• Traditionally the most popular method used to develop mapping models is that of mathematical modeling. • 传统上用于开发映射模型中最受欢迎的方法 是数学建模。 • The mathematical model is usually what is sought, as it provides the highest level of understanding about the subject and the most precise representation of the behavior. • 探索数学模型以提供课题最高水平理解和 性能最精确的表达。
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当模型推动数学描述方法和人类发展的界限， 数学描述最终到达定义极限。通常，适当的细节能 够被构造进模型之前产生。算法是由于模型不足而 产生的需要。
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Overview of Algorithmic Methods
• As the algorithm increases in complexity, the processing power needed must be increased to maintain both fidelity and speed of processing.
这种关系被称为所谓的算法。严格关系约束， 关系可以说是有条理的，也就是说，对于任意给 定输入输出将永远是一样的。算法只提供一种诠 释。
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Overview of Algorithmic Methods •
This method of signal processing is the most highly developed method and is certainly one to aim for because it is devoid of ambiguity. aim for瞄准；以…为目标力争…，针对
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• traceable 可追踪的；起源于；可描绘的 • calibrate 测定口径；调整；校正
计算方法可以是非常精确的，可描述的，并能 较容易地调整并达成一致。
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Overview of Algorithmic Methods
• They are the basis of many instrumentation systems. The origin of their use in instrumentation goes back to the early days of computing using, first, mechanical computational machines (late 1800s to around 1930) and then analog electric devices (early 1900s to 1960s), all of which were mostly replaced by the use of digital computers commencing around 1950.
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be devoid of 缺乏
ambiguity含糊；不明确；暧昧； 信号处理的方法是最高速发展的方法，必然以 毫无歧义为目标的。
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Overview of Algorithmic Methods
• • All will agree on how it will respond. It carries a comforting level of understanding and, thus, acceptance. 所有方法对如何响应取得了一致意见。它能达 到一个令人欣慰的理解水平，从而接受它。 Algorithmic methods can be very accurate, traceable, and can be calibrated with relative ease and agreement.
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Overview of Algor能要求的增长， 所以在计算机器里对算法细节和模型方法有要求。
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Overview of Algorithmic Methods
• Mathematical description eventually reaches limits of definition as the models push the boundaries of mathematical methods and human development. Too often, this arises before adequate detail is able to be built into the model. The algorithm is then an inadequate model of the need.
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• While we appear to prefer the total objectivity of a mathematically formulated method of signal processing, it is now well proven that the AI methods often are better choices to use in terms of better speed of performance and often lower cost of processing. • AI: artificial intelligence 人工智能