DocumentCode :
2029964
Title :
A new eigenvector-based algorithm for multichannel blind deconvolution of input colored signals
Author :
Gürelli, Mehmet I. ; Nikias, Chrysostomos L.
Author_Institution :
Dept. of Electr. Eng.-Syst., Univ. of Southern California, Los Angeles, CA, USA
Volume :
4
fYear :
1993
fDate :
27-30 April 1993
Firstpage :
448
Abstract :
The development of a new algorithm is presented for the deconvolution of an unknown, possibly colored signal which is observed through two or more unknown channels described by rational system transfer functions. It is assumed that the channel orders as well as the root locations are unknown. The proposed algorithm starts with over-estimated channel orders and iteratively reduces them. The root locations are simultaneously estimated. This algorithm may also be used in multichannel system identification problems.<>
Keywords :
eigenvalues and eigenfunctions; identification; iterative methods; root loci; telecommunication channels; channel orders; eigenvector-based algorithm; multichannel blind deconvolution; multichannel system identification; rational system transfer functions; root locations;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1993. ICASSP-93., 1993 IEEE International Conference on
Conference_Location :
Minneapolis, MN, USA
ISSN :
1520-6149
Print_ISBN :
0-7803-7402-9
Type :
conf
DOI :
10.1109/ICASSP.1993.319691
Filename :
319691
Link To Document :
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