Multichannel blind deconvolution of non-minimum phase systems using information backpropagation

L. Q. Zhang, A. Cichocki, S. Amari

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

17 Citations (Scopus)

Abstract

We present a novel method-filter decomposition approach, for multichannel blind deconvolution of non-minimum phase systems. In earlier work we developed an efficient natural gradient algorithm for causal FIR filters. In this paper we further study the natural gradient method for noncausal filters. We decompose the doubly finite filters into a product of two filters, a noncausal FIR filter and a causal FIR filter. The natural gradient algorithm is employed to train the causal FIR filter, and a novel information backpropagation algorithm is developed for training the noncausal FIR filter. Simulations are given to illustrate the effectiveness and validity of the algorithm.

Original languageEnglish
Title of host publicationICONIP 1999, 6th International Conference on Neural Information Processing - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages210-216
Number of pages7
ISBN (Electronic)0780358716, 9780780358713
DOIs
Publication statusPublished - 1999
Externally publishedYes
Event6th International Conference on Neural Information Processing, ICONIP 1999 - Perth, Australia
Duration: 16 Nov 199920 Nov 1999

Publication series

NameICONIP 1999, 6th International Conference on Neural Information Processing - Proceedings
Volume1

Conference

Conference6th International Conference on Neural Information Processing, ICONIP 1999
Country/TerritoryAustralia
CityPerth
Period16/11/9920/11/99

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