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
         
        
        
        
        
        
        
            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;
         
        
        
        
            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
         
        
        
            DOI : 
10.1109/NSWCTC.2009.88