Title : 
An algebraic principle in blind separation of single source signal
         
        
            Author : 
Zhu, Jie ; Cao, Xi-Ren ; Ding, Zhi
         
        
            Author_Institution : 
Center for Signal Process., Nanyang Technol. Univ., Singapore
         
        
        
        
        
        
            Abstract : 
We study the blind separation problem of non-Gaussian source signals when there is only one desired signal to be recovered from its instantaneous mixtures with another source signals. Two sets of equations are built, both of which can be solved to blindly extract one non-Gaussian source signal. When there are n source signals, the number of equations in each equation sets is 3(n-1) that is much less than that for the separation of all source signals. The contribution of this paper lies in that it develops a principle for the design of blind single source separation algorithm
         
        
            Keywords : 
convolution; higher order statistics; identification; polynomials; signal detection; algebraic principle; blind separation; cross cumulants; non-Gaussian source signals; polynomial equations; separation algorithm; single source signal; Algorithm design and analysis; Data mining; Equations; Polynomials; Signal processing; Signal processing algorithms; Source separation; Taylor series; User-generated content;
         
        
        
        
            Conference_Titel : 
Circuits and Systems, 2000. Proceedings. ISCAS 2000 Geneva. The 2000 IEEE International Symposium on
         
        
            Conference_Location : 
Geneva
         
        
            Print_ISBN : 
0-7803-5482-6
         
        
        
            DOI : 
10.1109/ISCAS.2000.858846