DocumentCode
3318636
Title
A Penalty Function Based Algorithm of Blind Separation
Author
Fu, Yuli ; Xie, Shengli ; He, Zhaoshui
Author_Institution
Sch. of Electron. & Inf. Eng., South China Univ. of Technol., Guangzhou
Volume
2
fYear
2006
fDate
3-6 Nov. 2006
Firstpage
1738
Lastpage
1741
Abstract
A penalty function based algorithm of blind separation is proposed in this paper. The nonlinearity in this kind of algorithms is discussed. Some stable regions of the nonlinearity are pointed to demonstrate the properties of it. A simulation is given to illustrate availability of the algorithm
Keywords
blind source separation; matrix algebra; nonlinear functions; optimisation; algorithm nonlinearity; blind separation; penalty function; Adaptive algorithm; Data mining; Gaussian distribution; Helium; Nonlinear equations; Optimization methods; Signal processing; Upper bound; Visualization;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Security, 2006 International Conference on
Conference_Location
Guangzhou
Print_ISBN
1-4244-0605-6
Electronic_ISBN
1-4244-0605-6
Type
conf
DOI
10.1109/ICCIAS.2006.295358
Filename
4076264
Link To Document