首页 | 本学科首页   官方微博 | 高级检索  
     

基于似P范数FOCUSS的稀疏信号盲分离
引用本文:马艳荣,马丽艳,张玉洁.基于似P范数FOCUSS的稀疏信号盲分离[J].工程地球物理学报,2007,4(4):287-290.
作者姓名:马艳荣  马丽艳  张玉洁
作者单位:中国地质大学,数理学院,武汉,430074
基金项目:国家自然科学基金(60672049)资助项目,中国地质大学研究生学术创新与探索基金资助项目
摘    要:把似P范数FOCUSS方法应用于稀疏信号盲分离中,采用k均值聚类算法来估计混合矩阵;然后利用似P范数FOCUSS方法来求解具有线性约束优化问题的稀疏源信号,从而给出了一种基于似P范数FOCUSS方法的稀疏信号盲分离算法。该算法计算量小,精度较高。仿真结果表明该算法是有效的,具有良好的分离性能。

关 键 词:稀疏  盲分离  似P范数FOCUSS
文章编号:1672-7940(2007)04-0287-04
修稿时间:2007-06-07

Blind Sparse Source Separation Based on P-Norm Like Diversity Measure of FOCUSS
Ma Yanrong,Ma Liyan,Zhang Yujie.Blind Sparse Source Separation Based on P-Norm Like Diversity Measure of FOCUSS[J].Chinese Journal of Engineering Geophysics,2007,4(4):287-290.
Authors:Ma Yanrong  Ma Liyan  Zhang Yujie
Affiliation:School of Mathematics and Physics,China University of Geosciences,Wuhan 430074,China
Abstract:In this paper,we propose a blind sparse source separation algorithm by using P-norm like diversity measure of FOCUSS.The proposed algorithm first estimates the mixied matrix by using the k-means clustering algorithm.Then P-norm like diversity measure of FOCUSS is applied to the linearly constrained optimization problem for recovering the sparse sources.Finally,a blind Sparse Source Separation Based on P-norm like diversity measure of FOCUSS algorithm is obtained.The presented algorithm is characterized by high accuracy and less computation.Simulation results illustrate the efficiency and the good performance of the algorithm.
Keywords:sparse  blind source separation  P-norm like diversity measure of FOCUSS
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号