Title :
Super-exponential algorithms for multichannel blind deconvolution
Author :
Inouye, Yujiro ; Tanebe, Kazuaki
Author_Institution :
Dept. of Electron. & Control Syst. Eng., Shimane Univ., Matsue, Japan
fDate :
3/1/2000 12:00:00 AM
Abstract :
Multichannel blind deconvolution has been receiving increasing attention. Shalvi and Weinstein proposed an attractive approach to single-channel blind deconvolution called the super-exponential methods. The objective of this correspondence is to extend the Shalvi and Weinstein (1993, 1994) approach to the multichannel case and present super-exponential algorithms for multichannel blind deconvolution. We propose three approaches to multichannel blind deconvolution. In the first one, we present a multichannel super-exponential algorithm. In the second one, we present a super-exponential deflation algorithm. In the third one, we present a two-stage super-exponential algorithm
Keywords :
blind equalisers; deconvolution; iterative methods; Shalvi and Weinstein approach; multichannel blind deconvolution; multichannel super-exponential algorithm; super-exponential deflation algorithm; two-stage super-exponential algorithm; Array signal processing; Convergence; Deconvolution; Digital communication; Image enhancement; Iterative algorithms; Signal processing algorithms; Speech enhancement; Speech processing; Wideband;
Journal_Title :
Signal Processing, IEEE Transactions on