Blind Deconvolution in Nonminimum Phase Systems Using Cascade Structure. (15th October 2006)

• Record Type: Journal Article
• Authors: Xia Xia, Bin Bin; Zhang Zhang, Liqing Liqing
• Other Names: Cichocki Cichocki Andrzej Andrzej Academic Editor.
• Is Part Of: EURASIP journal on advances in signal processing. Volume 2007(2007)
• Publication Date: 2006-10-15
• Subjects: Signal processing -- Periodicals; Traitement du signal; Signal processing; Periodicals; 621.3822
• DOI: 10.1155/2007/48432
• Languages: English
• ISSNs: 1687-6172

Abstract

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.