短时傅里叶变换的幅度平方分布中存在的窗口选择和交叉项

S. Kadambe
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引用次数: 5

摘要

短时傅里叶变换(STFT)是一种时频表示,根据定义是线性的。然而,信号处理器通常用来表示信号的STFT(谱图)的幅度平方分布是非线性的。因此,通常在多分量信号的频谱图中存在交叉项。它们的存在取决于(a)多分量信号的性质,(b) STFT分析窗口的选择和(c)窗口长度的选择。本文通过代表性的例子详细研究了(i) STFT分析窗口的选择和(ii)待分析信号的性质对交叉项的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On the window selection and the cross terms that exist in the magnitude squared distribution of the short time Fourier transform
The short time Fourier transform (STFT), a time-frequency representation, is linear by definition. However, the magnitude squared distribution of the STFT (the spectrogram) which signal processors often use to represent a signal is non-linear by definition. Therefore, in general, there exist cross terms in the spectrogram of a multi-component signal. The existence of these depends on (a) the nature of a multi-component signal, (b) the choice of the STFT analysis window and (c) the window length selection. This paper studies the effect of (i) the choice of the STFT analysis window, and (ii) the nature of signals to be analyzed, on the cross terms, in detail with representative examples.<>
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