DocumentCode
1856011
Title
Novel dependence measure for dependent component analysis
Author
Shaoquan Yu ; Shizhong Zhang ; Fasong Wang ; Hongwei Li
Author_Institution
Sch. of Math. & Phys., China Univ. of Geosci., Wuhan, China
Volume
3
fYear
2012
fDate
21-25 Oct. 2012
Firstpage
2313
Lastpage
2317
Abstract
The purpose of this paper is to develop nonparametric blind signal separation (BSS) algorithm for linear dependent source signals, which is proposed under the framework of contrast method as in independent component analysis (ICA). The contrast function is derived from the Schweizer-Wolff measure of pairwise dependence between the variables. Simulation results show that the proposed algorithm is able to separate the dependent signals and yield ideal performance.
Keywords
blind source separation; independent component analysis; BSS algorithm; ICA; Schweizer-Wolff measure; contrast function; dependent component analysis; independent component analysis; linear dependent source signals; nonparametric blind signal separation algorithm; pairwise dependence; Schweizer-Wolff measure; dependent component analysis (DCA); independent component analysis (ICA); mutual information (MI);
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing (ICSP), 2012 IEEE 11th International Conference on
Conference_Location
Beijing
ISSN
2164-5221
Print_ISBN
978-1-4673-2196-9
Type
conf
DOI
10.1109/ICoSP.2012.6492043
Filename
6492043
Link To Document