数据采集与处理2011，Vol.26Issue(5)：542-546,5.
基于ICA的相位编码信号欠定盲分离算法
Underdetermined Blind Separation Based on Independent Component Analysis for Phase Coded Signals
熊英 1陈晓军 1唐斌1
作者信息
- 1. 电子科技大学电子工程学院 成都 610054
- 折叠
摘要
Abstract
A method for the mixing matrix estimation and source recoveration in the underde-termined source separation is proposed in which the shaped phase coded signals are not sparse in time domain or frequency domain. By means of particularity among the shaped phase coded signals, a method is presented, which uses tapped delay lines to turn an underdetermined con-volutive blind source separation problem into an overdetermined instantaneous blind source separation problem which can be solved by independent component analysis (ICA) algorithm. Furthermore, the sources can be estimated by using kurtosis choosing and least mean square (LMS) algorithm precisely. The method can overcome the difficulty that the sources are not sparse enough to estimate the matrix and recover signal in time or frequency domains.关键词
欠定盲源分离/独立分量分析/LMS算法/二相编码信号Key words
underdetermined blind source separation/independent component analysis/least mean square (LMS) algorithm/shaped phase coded signal分类
信息技术与安全科学引用本文复制引用
熊英,陈晓军,唐斌..基于ICA的相位编码信号欠定盲分离算法[J].数据采集与处理,2011,26(5):542-546,5.
