A new blind separation approach to Ill-condition mixed sources

Hailin Liu; Yiu Ming Cheung

A new blind separation approach to Ill-condition mixed sources

Hailin Liu^*, Yiu Ming Cheung

^*Corresponding author for this work

Department of Computer Science

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

Abstract

In this paper, we discuss solution property for blind separation of ill-condition mixed sources and therefore derive a sufficient and necessary condition. Further, we present a new contrast function, through which a new algorithm is proposed to directly separate the sources without time-consuming iterative steps. Under a loose condition, It is proved that any source signals theoretically satisfying the condition can be successfully separated by our method. The computer simulation shows its outstanding performance on blind source separation.

Original language	English
Title of host publication	Proceedings of the 2005 IEEE International Workshop on VLSI Design and Video Technology, IWVDVT 2005
Pages	39-42
Number of pages	4
Publication status	Published - 2005
Event	2005 IEEE International Workshop on VLSI Design and Video Technology, IWVDVT 2005 - Suzhou, China Duration: 28 May 2005 → 30 May 2005

Publication series

Name	Proceedings of the 2005 IEEE International Workshop on VLSI Design and Video Technology, IWVDVT 2005

Conference

Conference	2005 IEEE International Workshop on VLSI Design and Video Technology, IWVDVT 2005
Country/Territory	China
City	Suzhou
Period	28/05/05 → 30/05/05

Scopus Subject Areas

Engineering(all)

User-Defined Keywords

Blind source separation
Correct solution
Generalized eigenvalue
Ill-condition case

Cite this

@inproceedings{429a29ff65c042dd87c357df7cff47a2,

title = "A new blind separation approach to Ill-condition mixed sources",

abstract = "In this paper, we discuss solution property for blind separation of ill-condition mixed sources and therefore derive a sufficient and necessary condition. Further, we present a new contrast function, through which a new algorithm is proposed to directly separate the sources without time-consuming iterative steps. Under a loose condition, It is proved that any source signals theoretically satisfying the condition can be successfully separated by our method. The computer simulation shows its outstanding performance on blind source separation.",

keywords = "Blind source separation, Correct solution, Generalized eigenvalue, Ill-condition case",

author = "Hailin Liu and Cheung, {Yiu Ming}",

note = "Copyright: Copyright 2008 Elsevier B.V., All rights reserved.; 2005 IEEE International Workshop on VLSI Design and Video Technology, IWVDVT 2005 ; Conference date: 28-05-2005 Through 30-05-2005",

year = "2005",

language = "English",

isbn = "0780390067",

series = "Proceedings of the 2005 IEEE International Workshop on VLSI Design and Video Technology, IWVDVT 2005",

pages = "39--42",

booktitle = "Proceedings of the 2005 IEEE International Workshop on VLSI Design and Video Technology, IWVDVT 2005",

}

Liu, H & Cheung, YM 2005, A new blind separation approach to Ill-condition mixed sources. in Proceedings of the 2005 IEEE International Workshop on VLSI Design and Video Technology, IWVDVT 2005. Proceedings of the 2005 IEEE International Workshop on VLSI Design and Video Technology, IWVDVT 2005, pp. 39-42, 2005 IEEE International Workshop on VLSI Design and Video Technology, IWVDVT 2005, Suzhou, China, 28/05/05.

A new blind separation approach to Ill-condition mixed sources. / Liu, Hailin; Cheung, Yiu Ming.
Proceedings of the 2005 IEEE International Workshop on VLSI Design and Video Technology, IWVDVT 2005. 2005. p. 39-42 (Proceedings of the 2005 IEEE International Workshop on VLSI Design and Video Technology, IWVDVT 2005).

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

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AU - Liu, Hailin

AU - Cheung, Yiu Ming

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N2 - In this paper, we discuss solution property for blind separation of ill-condition mixed sources and therefore derive a sufficient and necessary condition. Further, we present a new contrast function, through which a new algorithm is proposed to directly separate the sources without time-consuming iterative steps. Under a loose condition, It is proved that any source signals theoretically satisfying the condition can be successfully separated by our method. The computer simulation shows its outstanding performance on blind source separation.

AB - In this paper, we discuss solution property for blind separation of ill-condition mixed sources and therefore derive a sufficient and necessary condition. Further, we present a new contrast function, through which a new algorithm is proposed to directly separate the sources without time-consuming iterative steps. Under a loose condition, It is proved that any source signals theoretically satisfying the condition can be successfully separated by our method. The computer simulation shows its outstanding performance on blind source separation.

KW - Blind source separation

KW - Correct solution

KW - Generalized eigenvalue

KW - Ill-condition case

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M3 - Conference proceeding

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SN - 0780390067

T3 - Proceedings of the 2005 IEEE International Workshop on VLSI Design and Video Technology, IWVDVT 2005

SP - 39

EP - 42

BT - Proceedings of the 2005 IEEE International Workshop on VLSI Design and Video Technology, IWVDVT 2005

T2 - 2005 IEEE International Workshop on VLSI Design and Video Technology, IWVDVT 2005

Y2 - 28 May 2005 through 30 May 2005

ER -

A new blind separation approach to Ill-condition mixed sources

Abstract

Publication series

Conference

Scopus Subject Areas

User-Defined Keywords

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