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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Veröffentlicht in:	International journal of applied mathematics and computer science Jg. 32; H. 4; S. 671 - 682
Hauptverfasser:	Zhong, Yijun, Li, Chongjun, Li, Zhong, Duan, Xiaojuan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Zielona Góra Sciendo 01.12.2022 De Gruyter Brill Sp. z o.o., Paradigm Publishing Services
Schlagworte:	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
Online-Zugang:	Volltext
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