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Multichannel Blind Deconvolution Using a Novel Filter Decomposition Method.

Authors :
Wang, Jun
Yi, Zhang
Zurada, Jacek M.
Lu, Bao-Liang
Yin, Hujun
Xia, Bin
Zhang, Liqing
Source :
Advances in Neural Networks - ISNN 2006; 2006, p1202-1207, 6p
Publication Year :
2006

Abstract

In our previous work [11], we introduced a filter decomposition method for blind deconvolution in non-minimum phase system. To simplify the deconvolution procedure, we further study the demixing filter and modify the cascade structure of demixing filter. In this paper, we introduce a novel two-stage algorithm for blind deconvolution. In first stage, we present a permutable cascade structure which constructed by a causal filter and an anti-causal scalar filter. Then, we develop SOS-based algorithm for causal filter and derive a natural gradient algorithm for anti-causal scalar filter. At second stage, we apply an instantaneous ICA algorithm to eliminate the residual instantaneous mixtures. Computer simulations show the validity and effectiveness of this approach. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISBNs :
9783540344391
Database :
Supplemental Index
Journal :
Advances in Neural Networks - ISNN 2006
Publication Type :
Book
Accession number :
32883793
Full Text :
https://doi.org/10.1007/11759966_178