计算机应用研究2017，Vol.34Issue(10)：3010-3012,3.DOI:10.3969/j.issn.1001-3695.2017.10.029
基于经验模态分解的单通道盲源分离算法
Single-channel blind source separation algorithm based on empirical mode decomposition
赵知劲 1黄艳波1
作者信息
- 1. 杭州电子科技大学通信工程学院,杭州310018
- 折叠
摘要
Abstract
In order to improve the performance of single channel blind source separation,this paper firstly applied the empirical mode decomposition to single-channel observation signal to obtain a series of intrinsic mode function and residue,which reconstructed multi-channel signals.Secondly,according to the existing mixed modes intrinsic mode function,it constructed the multi-channel signals by using the signal periodicity,and eliminated the modal mixing by using independent component analysis.And it cancelled out the false components of the above obtained multi-channel signals on the basis of correlation,then got the new multi-channel signals by the remaining signals and observed signal.Finally,it separated the source signals by using the Fast-ICA algorithm.The simulation results show that the algorithm can effectively separate the source signals,the separation performance is better than the existing single channel blind source separation algorithms based on empirical mode decomposition.关键词
单通道盲源分离/独立分量分析/经验模态分解/本征模函数/模态混叠Key words
single-channel blind source separation(SCBSS)/independent component analysis(ICA)/empirical mode decomposition (EMD)/intrinsic mode function(IMF)/mixed mode分类
信息技术与安全科学引用本文复制引用
赵知劲,黄艳波..基于经验模态分解的单通道盲源分离算法[J].计算机应用研究,2017,34(10):3010-3012,3.
