摘要
时频分析作为时变非平稳信号分析的有力工具,成为现代信号处理研究的一个热点。这种分析方法提供了时间域与频率域的联合分布信息,为我们清楚地描述了信号随时间变化的关系。Wigner-Ville分布由于其良好时频集聚性,在非平稳信号分析中得到广泛应用,本文针对Wigner-Ville分布中的交叉项问题,提出了基于经验模式分解的Wigner-Ville分布,即对多分量信号运用经验模式分解,将其分解为单分量信号,再对每个单分量信号求Wigner-Ville分布进行线性叠加。提出运用相关系数法对经验模式分解伪分量进行剔除,提高了该方法的精度,并将该方法与Cohen类方法进行比较,阐述了该方法的优点。
During the present time, Time-Frequency Analysis is one of the top interests in signal processing, and more and more research has been put on this topic. As one of the best tools to analyze the nonstationary signals, it shows a good picture in the joint time-frequency domain and makes us know about the change of frequency along with the time clearly. In this paper Wigner-Ville Distribution based on Empirical Mode Decomposition is presented to solve the problem of crossterms. Muhicomponent signals are decomposed to single component signal by Empirical Mode Decomposition, further, WignerVille Distribution of each single component signal is computed and added linearly. Then the relation coefficient method is used to delete the false components generated by Empirical Mode Decomposition ,which also can improve the precision of this method. At last Wigner-Ville Distribution based on Empirical Mode Decomposition is compared with Cohen method, and the merit of this method is discussed.
出处
《电子测试》
2008年第2期5-9,17,共6页
Electronic Test
