The effect of mismatching analysis signals and time-frequency representations

A. Papandreou-Suppappola, G. Boudreaux-Bartels
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引用次数: 8

Abstract

We study the time-frequency geometry underlying quadratic time-frequency representations (QTFRs) defined based on a generalized time-shift covariance property. These QTFRs include the generalized warped Wigner distribution (WD) and its smoothed versions that are useful for reducing cross terms in multicomponent signal analysis applications. The generalized warped WD is ideal for analyzing nonstationary signals whose group delay matches the specified time-shift covariance. Its smoothed versions may also be well suited for various signals provided that their smoothing characteristics match the signal's time-frequency structure. Thus, we examine the effects of a mismatch between the analysis signal and the chosen QTFR. We provide examples to demonstrate the advantage of matching the signal's group delay with the generalized time-shift covariance property of a given class of QTFRs, and to demonstrate that mismatch can cause significant distortion.
失配分析信号与时频表示的影响
我们研究了基于广义时移协方差特性的二次时频表示(QTFRs)的时频几何。这些qtfr包括广义翘曲维格纳分布(WD)及其平滑版本,可用于减少多分量信号分析应用中的交叉项。广义扭曲WD是分析群延迟符合指定时移协方差的非平稳信号的理想方法。它的平滑版本也可以很好地适用于各种信号,只要它们的平滑特性与信号的时频结构相匹配。因此,我们检查分析信号和所选QTFR之间不匹配的影响。我们提供了例子来证明将信号的群延迟与给定类qtfr的广义时移协方差特性相匹配的优势,并证明不匹配会导致严重的失真。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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