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Proceedings Paper

EMD-WVD time-frequency distribution for analysis of multi-component signals
Author(s): Yunzi Chai; Xudong Zhang
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Paper Abstract

Time-frequency distribution (TFD) is two-dimensional function that indicates the time-varying frequency content of one-dimensional signals. And The Wigner-Ville distribution (WVD) is an important and effective time-frequency analysis method. The WVD can efficiently show the characteristic of a mono-component signal. However, a major drawback is the extra cross-terms when multi-component signals are analyzed by WVD. In order to eliminating the cross-terms, we decompose signals into single frequency components – Intrinsic Mode Function (IMF) – by using the Empirical Mode decomposition (EMD) first, then use WVD to analyze each single IMF. In this paper, we define this new time-frequency distribution as EMD-WVD. And the experiment results show that the proposed time-frequency method can solve the cross-terms problem effectively and improve the accuracy of WVD time-frequency analysis.

Paper Details

Date Published: 7 October 2016
PDF: 7 pages
Proc. SPIE 9902, Fourth International Conference on Wireless and Optical Communications, 99020W (7 October 2016); doi: 10.1117/12.2262260
Show Author Affiliations
Yunzi Chai, Tsinghua Univ. (China)
Xudong Zhang, Tsinghua Univ. (China)


Published in SPIE Proceedings Vol. 9902:
Fourth International Conference on Wireless and Optical Communications
Maode Ma, Editor(s)

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