Convergence analysis of sparse LMS algorithms with \(l_{1}\)-norm penalty based on white input signal
type: Item
instance of: scholarly article
title: Convergence analysis of sparse LMS algorithms with \(l_{1}\)-norm penalty based on white input signal
zbMATH Open document ID: 1197.94124
author: Kun Shi
author: Peng Shi
published in: Signal Processing
publication date: 2010-09-27T00:00:00Z
Mathematics Subject Classification ID: 94A12
zbMATH DE Number: 5791935
zbMATH Keywords: least mean square (LMS) algorithm
zbMATH Keywords: sparsity
zbMATH Keywords: zero attracting
zbMATH Keywords: \(l_{1}\) norm
zbMATH Keywords: mean square deviation (MSD)
MaRDI profile type: Publication
full work available at URL: j.sigpro.2010.05.015
OpenAlex ID: W2062365357
cites work: Q4864293
DOI: 10.1016/J.SIGPRO.2010.05.015
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description: scientific article; zbMATH DE number 5791935