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Automatic Differentiation of Computer Programs in the Time and Frequency Domain

机译:时域和频域中计算机程序的自动区分

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Automatic differentiation of computer programs has been successfully used in a wide variety of application areas. However, in this set of techniques, the differentiation is not carried out on the level of an abstract mathematical representation of some function, but on the level of an actual implementation of this mathematical representation. We consider the resulting subtle differences when automatic differentiation is used to transform functions from the area of digital signal processing. To this end, we apply the software tool ADiMat, implementing automatic differentiation for programs written in Matlab, to an implementation of a simple sinusoidal function in both, the time and the frequency domain. This comparison illustrates that the mechanical process of applying automatic differentiation is currently not capable of recognizing and exploiting the known mathematical connection between derivatives in the time and in the frequency domain.
机译:计算机程序的自动区分已经成功地用于各种应用领域。但是,在这套技术中,区分不是在某些功能的抽象数学表示形式上进行,而是在此数学表示形式的实际实现上进行。当使用自动微分来转换数字信号处理领域的功能时,我们会考虑由此产生的细微差异。为此,我们将软件工具ADiMat应用于时域和频域中的简单正弦函数的实现,该工具对用Matlab编写的程序实现自动微分。这种比较说明,应用自动微分的机械过程目前无法识别和利用时域和频域中导数之间的已知数学联系。

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