DocumentCode
1801048
Title
Conditions on source signals for blind separation
Author
Zhu, Jie ; Cao, Xi-Ren
Author_Institution
Dept. of Electr. & Electron. Eng., Hong Kong Univ. of Sci. & Technol., Kowloon, Hong Kong
Volume
1
fYear
1996
fDate
14-18 Oct 1996
Firstpage
408
Abstract
In the blind source separation problem it is usually assumed that the source signals are mutually independent. It has been realized that this assumption is not necessary. In this paper, we provide some general conditions under which the source signals can be recovered from their linear mixtures. We first define two concepts, the mutually M-th order independence and the pairwise M-th order independence, on a set of random variables. Then we prove that if the source signals are mutually M-th order independent, then those source signals, each of which has at least one nonzero m-th order cumulant for 3⩽m⩽M, can be separated. This conclusion is in spirit similar to, but more general than, that proposed by Tong et al. (1993). The constructive proof suggests an algorithm for the blind separation of sources which are mutually M-th order independent. Simulation examples are presented to illustrate the results
Keywords
higher order statistics; signal reconstruction; blind separation; blind source separation problem; linear mixtures; m-th order cumulant; mutually M-th order independence; pairwise M-th order independence; random variables; source signal; Array signal processing; Blind equalizers; Blind source separation; Jamming; Noise reduction; Random variables; Signal processing algorithms; Source separation; Statistics; Water resources;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing, 1996., 3rd International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-2912-0
Type
conf
DOI
10.1109/ICSIGP.1996.567289
Filename
567289
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