DocumentCode
2110680
Title
Super-exponential methods for multichannel blind deconvolution
Author
Inouye, Yujiro ; Tanebe, Kazuaki
Author_Institution
Dept. of Electron. & Control Syst. Eng., Shimane Univ., Matsue, Japan
Volume
4
fYear
1998
fDate
12-15 May 1998
Firstpage
2353
Abstract
Multichannel blind deconvolution has received increasing attention during the last decade. Martone (see Proc. ICC ´95, p.1505-08, 1995) extended the super-exponential method proposed by Shalvi and Weinstein (see IEEE Trans. Inform. Theory, vol.39, p.504-19, 1993, and Blind Deconvolution New Jersey: Prentice-Hall, p.121-80, 1994) for single-channel blind deconvolution to multichannel blind deconvolution. However, the Martone extension suffers from two types of serious drawbacks. The objective of this paper is to obviate these drawbacks and to propose three approaches to multichannel blind deconvolution. In the first approach, we present a multichannel super-exponential algorithm. In the second approach, we present a super-exponential deflation algorithm. In the third approach, we present a two-stage super-exponential algorithm
Keywords
convergence of numerical methods; deconvolution; higher order statistics; iterative methods; telecommunication channels; Martone algorithm; convergence; fourth-order cumulants; input signals; multichannel blind deconvolution; multichannel super-exponential algorithm; super-exponential deflation algorithm; super-exponential methods; two-stage super-exponential algorithm; Control systems; Deconvolution; Digital communication; Equalizers; Image enhancement; Random variables; Speech enhancement; Speech processing; Systems engineering and theory; Wideband;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference on
Conference_Location
Seattle, WA
ISSN
1520-6149
Print_ISBN
0-7803-4428-6
Type
conf
DOI
10.1109/ICASSP.1998.681622
Filename
681622
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