Improved Blind Source Separation Method Based on Independent Component Analysis and Empirical Mode Decomposition

摘要：

Blind source separation (BSS) has recently received a great deal of attention in signal processing. In order to improve the limited separation performance of the conventional BSS method by the influence of the probability density of the source signal, based on the Independent Component Analysis and Empirical Mode Decomposition theories, an improved blind separation method is proposed. The method is demonstrated by some examples. Simulation results show the improved separation performance of the proposed method, and the time-frequency feature of the source signal has a better reflection.

关键词： blind source separation independent component analysis empirical mode decomposition non-stationary processes probability density

作者: Zhang Jie Lin Jianhui

作者单位: School of Mechanical Engineering Southwest Jiaotong University ChengDu, China National Traction Power Laboratory Southwest Jiaotong University ChengDu, China

会议类型: 国际会议

会议名称: 2011 4th International Conference on Biomedical Engineering and Informatics(第四届生物医学工程与信息学国际会议 BMEI 2011)

会议地点: 上海

会议语种:英文

页码: 2225-2227

在线出版日期: 2011-10-15（万方平台首次上网日期，不代表论文的发表时间）