DocumentCode :
3590727
Title :
A gradient type algorithm for blind system identification based on second order statistics
Author :
Ochi, Hiroshi ; Higa, Yoshito
Author_Institution :
Fac. of Eng., Ryukyus Univ., Okinawa, Japan
fYear :
1998
Firstpage :
584
Lastpage :
587
Abstract :
In this paper, we propose a new structure of blind system identification and its cost function. The proposed cost function is a quadratic form and has the unique solution. In addition, the proposed scheme can employ iterative algorithms which achieve less computational complexity and can be easily realized in real time processing. In order to verify the effectiveness of the proposed scheme, a computer simulation has been shown
Keywords :
computational complexity; gradient methods; higher order statistics; identification; iterative methods; blind system identification; computational complexity; cost function; gradient type algorithm; iterative algorithms; real time processing; second order statistics; Statistics; System identification; Variable speed drives;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 1998. Proceedings. 1998 Midwest Symposium on
Print_ISBN :
0-8186-8914-5
Type :
conf
DOI :
10.1109/MWSCAS.1998.759560
Filename :
759560
Link To Document :
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