Title : 
Criteria for blind deconvolution of multichannel linear time-invariant systems
         
        
        
            Author_Institution : 
Dept. of Syst. Eng., Osaka Univ., Japan
         
        
        
        
        
        
            Abstract : 
Shalvi and Weinstein (1990) proposed certain criteria for blind deconvolution of nonminimum-phase linear time-invariant systems. Their work is, however, restricted to the single-channel (or scalar) case. This paper extends the Shalvi-Weinstein approach to the multichannel case. We propose a multistage maximization criterion and a single-stage maximization criterion for attaining multichannel blind deconvolution. Under a normalized condition, they are shown to be equivalent. We derive also a necessary and sufficient condition for multichannel blind deconvolution. A simulation example is included to demonstrate the effectiveness of the proposed criteria
         
        
            Keywords : 
deconvolution; optimisation; blind deconvolution; multichannel linear time-invariant systems; multistage maximization criterion; necessary and sufficient condition; nonminimum-phase linear time-invariant systems; single-stage maximization criterion; Blind equalizers; Blind source separation; Data processing; Deconvolution; Ear; Linear systems; Modeling; Systems engineering and theory; Transfer functions; Vectors;
         
        
        
        
            Conference_Titel : 
Decision and Control, 1996., Proceedings of the 35th IEEE Conference on
         
        
            Conference_Location : 
Kobe
         
        
        
            Print_ISBN : 
0-7803-3590-2
         
        
        
            DOI : 
10.1109/CDC.1996.572738