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The errors in FFT estimation

机译:FFT估计中的误差

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摘要

The discrete Fourier transform (DFT) as implemented by the fast Fourier transform (FFT) can be used to approximate values for the continuous Fourier transform (CFT), which is perhaps the main reason why the FFT is in such widespread use. Although it is well known that the FFT values are only approximations for the required CFT values, the exact nature of the approximation errors has never been well understood. Certain authors have stated that the errors must be treated on a function by function basis, some have given empirical rules for bounding them, and others have tried to give a graphical basis for how the errors come about. In this paper we develop exact formulae for the errors for a class of functions (called canonical). These formulae are also shown to hold asymptotically for a much wider class of functions (noncanonical), and between them these two classes cover essentially all functions whose CFTs one may wish to estimate using the FFT.
机译:由快速傅立叶变换(FFT)实现的离散傅立叶变换(DFT)可用于近似连续傅立叶变换(CFT)的值,这也许是FFT如此广泛使用的主要原因。尽管众所周知,FFT值仅仅是所需CFT值的近似值,但是对于近似误差的确切性质却从未有过充分的了解。某些作者指出,错误必须在逐个函数的基础上进行处理,一些作者给出了限制错误的经验规则,而另一些作者则试图为错误的产生提供图形化基础。在本文中,我们为一类函数(称为标准函数)的误差开发了精确的公式。还显示了这些公式对于更广泛的功能类别(非规范)渐近成立,并且在这两个类别之间基本上涵盖了所有可能希望使用FFT估算其CFT的功能。

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