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
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;
Conference_Titel :
Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-4428-6
DOI :
10.1109/ICASSP.1998.681622