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
Link To Document :
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