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Blind Deconvolution in Nonminimum Phase Systems Using Cascade Structure

EURASIP Journal on Advances in Signal Processing volume 2007, Article number: 048432 (2006) Cite this article

Abstract

We introduce a novel cascade demixing structure for multichannel blind deconvolution in nonminimum phase systems. To simplify the learning process, we decompose the demixing model into a causal finite impulse response (FIR) filter and an anticausal scalar FIR filter. A permutable cascade structure is constructed by two subfilters. After discussing geometrical structure of FIR filter manifold, we develop the natural gradient algorithms for both FIR subfilters. Furthermore, we derive the stability conditions of algorithms using the permutable characteristic of the cascade structure. Finally, computer simulations are provided to show good learning performance of the proposed method.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, 200030, China

    Bin Xia & Liqing Zhang

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  1. Bin Xia
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  2. Liqing Zhang
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Correspondence to Bin Xia.

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Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License ( https://creativecommons.org/licenses/by/2.0 ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Xia, B., Zhang, L. Blind Deconvolution in Nonminimum Phase Systems Using Cascade Structure. EURASIP J. Adv. Signal Process. 2007, 048432 (2006). https://doi.org/10.1155/2007/48432

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