计算机工程2011，Vol.37Issue(7)：271-273,3.DOI:10.3969/j.issn.1000-3428.2011.07.091
基于经验模态分解的WVD交叉项抑制法
WVD Cross-term Suppressing Method Based on Empirical Mode Decomposition
蔡艳平 1李艾华 1李仁兵 1李喜来 1白向峰1
作者信息
- 1. 第二炮兵工程学院五系,西安,710025
- 折叠
摘要
Abstract
In order to suppress the cross-term of Wigner-Ville distribution(WVD), this paper proposes a WVD cross-term suppressing method based on Empirical Mode Decomposition(EMD). It calculates the Intrinsic Mode Function(IMF). WVD after delete the false components generated by EMD, and then the original signal WVD is reconstructed by linear superposing the IMF WVD results. Simulation results show that the method can effectively suppress the cross-term of WVD, ensure WVD time-frequency concentration, analysis the signal amplitude modulation phenomenon.关键词
Wigner-Ville分布/交叉项/经验模态分解/固有模态函数/伪分量Key words
Wigner-Ville Distribution(WVD)/ cross-term/ Empirical Mode Decomposition(EMD)/ Intrinsic Mode Function(IMF)/ false component分类
信息技术与安全科学引用本文复制引用
蔡艳平,李艾华,李仁兵,李喜来,白向峰..基于经验模态分解的WVD交叉项抑制法[J].计算机工程,2011,37(7):271-273,3.
