基于小波包变换的Wigner-Ville分布分解

Minsheng Wang, A.I. Chan, C. Chui
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引用次数: 13

摘要

本文提出了一种新的时频分布。它是基于Wigner-Ville分布(WVD)分解和小波包变换的结合。首先,通过最佳基选择将输入信号最优地分解为频带。然后,用WVD分解表示一个频带内的每一个子信号。最后,结合这些WVD表示得到了所提出的分解。该方法在保持WVD高分辨率的同时,还能产生较小的干扰,并通过小波包变换对干扰进行解耦。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Wigner-Ville distribution decomposition via wavelet packet transform
A new time-frequency distribution is proposed in this paper. It is based on a combination of the Wigner-Ville distribution (WVD) decomposition and the wavelet packet transform. First, the input signal is optimally decomposed into frequency bands by a best basis selection. Then, each subsignal within a frequency band is represented by the WVD decomposition. Finally, the proposed decomposition is obtained by incorporating with these WVD representations. The proposed distribution keeps the high resolution of WVD, while inducing low interferences which are decoupled by the involved wavelet packet transform.
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