Stability analysis of adaptive algorithms for blind source separation of convolutive mixtures.
type: Item
instance of: scholarly article
title: Stability analysis of adaptive algorithms for blind source separation of convolutive mixtures.
zbMATH Open document ID: 1034.94517
DOI: 10.1016/S0165-1684(99)00067-5
published in: Signal Processing
publication date: 2000-08-21T00:00:00Z
review text: In this paper we present a stability analysis of two adaptive algorithms proposed in [\textit{H.-L. Nguyen-Thi} and \textit{C. Jutten}, ibid. 45, 209--229 (1995; Zbl 0875.94034)] for blind source separation of convolutive mixtures. We demonstrate that for temporally white sources and causal mixing filters the first algorithm is not stable whereas the second is always stable provided that the step-size parameters are adequately chosen. Moreover, we show that the second algorithm exhibits isotropic convergence.
Mathematics Subject Classification ID: 94A12
Mathematics Subject Classification ID: 62M20
zbMATH DE Number: 1493156
zbMATH Keywords: Blind source separation
zbMATH Keywords: Convolutive mixtures
zbMATH Keywords: Multichannel equalization
zbMATH Keywords: Adaptive signal processing
zbMATH Keywords: High-order statistics
author: Sergio Cruces
author: Luis Castedo
MaRDI profile type: Publication
description: scientific article; zbMATH DE number 1493156