Underdetermined blind sparse source separation for arbitrarily arranged multiple sensors
type: Item
instance of: scholarly article
title: Underdetermined blind sparse source separation for arbitrarily arranged multiple sensors
zbMATH Open document ID: 1186.94042
author: Shoko Araki
author: Hiroshi Sawada
author: Ryo Mukai
author: Shoji Makino
published in: Signal Processing
publication date: 2010-05-19T00:00:00Z
Mathematics Subject Classification ID: 94A12
zbMATH DE Number: 5709384
zbMATH Keywords: blind source separation
zbMATH Keywords: sparseness
zbMATH Keywords: clustering
zbMATH Keywords: normalization
zbMATH Keywords: binary mask
zbMATH Keywords: speech separation
zbMATH Keywords: reverberation
MaRDI profile type: Publication
full work available at URL: j.sigpro.2007.02.003
OpenAlex ID: W1981463705
DOI: 10.1016/J.SIGPRO.2007.02.003
Recommended article: Underdetermined blind source separation based on sparse representation
Recommended article: Underdetermined blind source separation using sparse representations
Recommended article: Underdetermined Blind Source Separation Based on Relaxed Sparsity Condition of Sources
Recommended article: Underdetermined Sparse Blind Source Separation of Nonnegative and Partially Overlapped Data
Recommended article: Independent Component Analysis and Blind Signal Separation
Recommended article: Underdetermined Blind Source Separation Based on Subspace Representation
Recommended article: Blind source separation by sparse decomposition in a signal dictionary
description: scientific article; zbMATH DE number 5709384