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