DocumentCode
352249
Title
An algebraic principle in blind separation of single source signal
Author
Zhu, Jie ; Cao, Xi-Ren ; Ding, Zhi
Author_Institution
Center for Signal Process., Nanyang Technol. Univ., Singapore
Volume
4
fYear
2000
fDate
2000
Firstpage
693
Abstract
We study the blind separation problem of non-Gaussian source signals when there is only one desired signal to be recovered from its instantaneous mixtures with another source signals. Two sets of equations are built, both of which can be solved to blindly extract one non-Gaussian source signal. When there are n source signals, the number of equations in each equation sets is 3(n-1) that is much less than that for the separation of all source signals. The contribution of this paper lies in that it develops a principle for the design of blind single source separation algorithm
Keywords
convolution; higher order statistics; identification; polynomials; signal detection; algebraic principle; blind separation; cross cumulants; non-Gaussian source signals; polynomial equations; separation algorithm; single source signal; Algorithm design and analysis; Data mining; Equations; Polynomials; Signal processing; Signal processing algorithms; Source separation; Taylor series; User-generated content;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 2000. Proceedings. ISCAS 2000 Geneva. The 2000 IEEE International Symposium on
Conference_Location
Geneva
Print_ISBN
0-7803-5482-6
Type
conf
DOI
10.1109/ISCAS.2000.858846
Filename
858846
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