Geometrical structures of FIR manifold and multichannel blind deconvolution
type: Item
instance of: scholarly article
title: Geometrical structures of FIR manifold and multichannel blind deconvolution
zbMATH Open document ID: 0999.93013
DOI: 10.1023/A:1014441120905
publication date: 2002-05-30T00:00:00Z
review text: The geometrical structures of the manifold associated with finite impulse response (F.I.R.) filters are studied, and a natural gradient learning algorithm for blind deconvolution is developed. A Lie group structure is introduced, and the Riemannian metric is derived. A learning algorithm that is based on the natural gradient approach and its stability are analyzed. The problem deals with signal processing without knowing the source signals and the mixing system and using only the sensor signals to estimate the original source signals.
reviewed by: Constantin Vârsan
Mathematics Subject Classification ID: 93B29
Mathematics Subject Classification ID: 93E10
Mathematics Subject Classification ID: 94A40
Mathematics Subject Classification ID: 94A12
Mathematics Subject Classification ID: 93C62
zbMATH DE Number: 1747898
zbMATH Keywords: finite impulse response filters
zbMATH Keywords: gradient learning algorithm
zbMATH Keywords: blind deconvolution
zbMATH Keywords: Lie group
zbMATH Keywords: Riemannian metric
zbMATH Keywords: signal processing
author: L.-Q. Zhang
author: Andrzej Cichocki
author: Shun-Ichi Amari
MaRDI profile type: Publication
Wikidata QID: Q60486952
published in: Journal of VLSI signal processing systems for signal, image and video technology
description: scientific article; zbMATH DE number 1747898