摘要
威格纳分布是一种重要的时频分析方法,但交叉干扰问题影响了它的推广应用.基于小波包分析,利用小波包对信号的威格纳时频分布进行分解,并利用分解系数重构时频图,使交叉项得到抑制和改善,实验结果表明此方法简单有效.
The Wigner Ville distribution (WVD) is an important mean of time - frequency analysis, but the cross - term interference in WVD has a great influence on its application. On the basis of the analysis of wavelet packet, this article offers a new met.hod to time frequency analysis. This method uses wavelet packet decomposing the WVD of the signal and reconstructing the time frequency diagram according to the decomposition coefficient. It can remove cross - term efficiently. Theoretical analysis and experimental results proved the validity of the method.
出处
《湖北大学学报(自然科学版)》
CAS
北大核心
2006年第1期4-6,11,共4页
Journal of Hubei University:Natural Science
基金
国家自然科学基金(60472062)资助课题
湖北省自然科学基金(2004ABA038)资助课题
关键词
时频分布
交叉项
小波包
Wigner Ville distribution
cross - term
wavelet packet