盲稀疏源信号分离算法的恢复性研究

广东工业大学学报 ›› 2007, Vol. 24 ›› Issue (03): 28-31.

盲稀疏源信号分离算法的恢复性研究

广东工业大学应用数学学院；广东工业大学应用数学学院广东广州510006；广东广州510006；

出版日期:2007-08-10 发布日期:2007-08-10

On Recoverability of Blind Source Separation Based on Sparse Representation

(Faculty of Applied Mathematics,Guangdong University of Technology,Guangzhou 510006,China)

Online:2007-08-10 Published:2007-08-10

摘要/Abstract

摘要： 基于一种两步稀疏表示的方法,利用随机框架讨论欠定盲源分离的恢复能力.盲稀疏源信号分离算法一般假设源信号是充分稀疏的,讨论了在源信号不充分稀疏的情况下欠定盲源分离的恢复能力的概率估计,进一步刻画了源的稀疏性与恢复能力的关系,揭示了利用两步法处理盲源分离问题的有效性.

关键词: 欠定混合；盲源分离；稀疏表示；恢复能力；

Abstract: This paper discusses the recoverability of underdetermined blind source separation(BSS),based on a two-stage sparse representation approach.Within the stochastic framework blind source separation it is usually predicted that source signals are sufficiently sparse.This paper estimates recoverability probability when source signals are not sufficiently sparse,which not only reflects the relationship between the recoverability and sparseness of sources but also indicates the effectiveness of the tw...

Key words: underdetermined mixture； blind source separation； sparse representation； recoverability；

谈华暠；刘海林； . 盲稀疏源信号分离算法的恢复性研究[J]. 广东工业大学学报, 2007, 24(03): 28-31.

TAN Hua-hao,LIU Hai-lin. On Recoverability of Blind Source Separation Based on Sparse Representation[J]. Journal of Guangdong University of Technology, 2007, 24(03): 28-31.

参考文献

[1] BELOUCHRANI A,CARDOSO J F.Maximum likelihoodsource separation for discrete sources. Proc.EUSIP-CO . 1994

[2] ZIBULEVSKY M,PEARLMUTTER B A,BOFILL P,et al.Blind source separation by sparse decomposition in a signaldictionary. IndependentComponents Analysis:Principles and Practice . 2000

[3] GIROLAMI M.A variational method for learning sparse andovercomplete representations. Neural Computation . 2001

[4] LI Y Q,CICHOCKI A,AMARI S.Underdetermined blindsource sepration based on sparse representation. IEEE Transactions on Electromagnetic Compatibility . 2006

[5] GEORIEV Pando,THEIS Fabian,CICHOCKI Andrzej.Sparse component analysis and blind separation of underde-termined mixtures. IEEE Transactions of Neural Net-works . 2005

[6] Bofill P,Zibulevsky M.Underdetermined sourceseparation using sparse representations. Signal Processing . 2001

[7] Li Y Q,Cichocki A,Amari S.Analysis of sparse representation and blind source separation. Neural Computation . 2004

Metrics

Viewed

Full text

2142

HTML			PDF

Just accepted	Online first	Issue	Just accepted	Online first	Issue
0	0	0	0	0	2142

From	Others	local

Times	381	1761
Rate	18%	82%

Abstract

213

Just accepted	Online first	Issue

0	0	213

From	Others	local

Times	46	167
Rate	22%	78%

Cited

Web of Science	Crossref	ScienceDirect	Search for Citations in Google Scholar >>


This page requires you have already subscribed to WoS.

Shared

Discussed