A new joint algorithm based on EMD-ICA to reduce the cross-term in Wigner-Vill distribution

摘要：

　　Wigner-Vill distribution (WVD) will inevitably have cross-terms when it used for time-frequency representation in a multi-component signal.In order to suppress the cross-terms in Wigner-Vill distribution,this paper proposes a joint algorithm based on EMD-ICA.This algorithm resolves a multi-component signal into several IMF components used by EMD at first,and then each IMF component is used FastICA algorithm for processing,and next seeks the Wigner-Vill distribution of each component,finally,add up the results.This method effectively inhibited the emergence of cross-terms in Wigner-Vill distribution,and keeps the properties of time-frequency concentration higher.

关键词： Wigner-Vill distribution cross-term EMD ICA

作者: Liu Wei He Xinxin Liu Zengli Yao Haoran

作者单位: Faculty of Information Engineering and Automation Kunming University of Science and Technology Kunming,China

会议类型: 国际会议

会议名称: 2013 2nd International Conference on Computer Science and Electronics Engineering(ICCSEE2013)(2013年第二届计算机科学与电子工程国际会议)

会议地点: 杭州

会议语种:英文

页码: 2094-2097

在线出版日期: 2013-03-22（万方平台首次上网日期，不代表论文的发表时间）