DocumentCode :
3310346
Title :
Minimum Mutual Information Criteria for Convolutive Blind Source Separation
Author :
Yan-liang, Zhang ; Bao-ping, Li ; Hui, Guo
Author_Institution :
Dept. Comput. Sci. & Technol., Henna Polytech. Univ., Jiaozuo
Volume :
2
fYear :
2009
fDate :
25-26 April 2009
Firstpage :
101
Lastpage :
105
Abstract :
In this paper ,the criteria for convolutive blind source separation(CBSS) is analyzed. We prove that the output stochastic processpsilas spatial independence is the necessary and sufficient condition for achieving separation. Using the definition of spatial independence, we converted this condition into minimum mutual information of output variables. Then we optimize this criteria with the method of steepest descent and get the recovered sources. Computer simulations show that the conclusion of this paper is correct.
Keywords :
blind source separation; convolution; stochastic processes; convolutive blind source separation; minimum mutual information criteria; steepest descent method; stochastic process spatial independence; Blind source separation; Computer networks; Computer simulation; Information analysis; Information security; Mutual information; Optimization methods; Source separation; Stochastic processes; Wireless communication;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Networks Security, Wireless Communications and Trusted Computing, 2009. NSWCTC '09. International Conference on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-1-4244-4223-2
Type :
conf
DOI :
10.1109/NSWCTC.2009.88
Filename :
4908416
Link To Document :
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