A Proximal–Based Algorithm for Piecewise Sparse Approximation with Application to Scattered Data Fitting

In some applications, there are signals with a piecewise structure to be recovered. In this paper, we propose a piecewise sparse approximation model and a piecewise proximal gradient method (JPGA) which aim to approximate piecewise signals. We also make an analysis of the JPGA based on differential...

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Vydáno v:	International journal of applied mathematics and computer science Ročník 32; číslo 4; s. 671 - 682
Hlavní autoři:	Zhong, Yijun, Li, Chongjun, Li, Zhong, Duan, Xiaojuan
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Zielona Góra Sciendo 01.12.2022 De Gruyter Brill Sp. z o.o., Paradigm Publishing Services
Témata:	Algorithms Approximation Differential equations Mathematical analysis Phase transitions piecewise sparse approximation proximal gradient Representations scattered data fitting Signal processing Sparsity
ISSN:	1641-876X, 2083-8492
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