Lp quasi-norm minimization: algorithm and applications

Sparsity finds applications in diverse areas such as statistics, machine learning, and signal processing. Computations over sparse structures are less complex compared to their dense counterparts and need less storage. This paper proposes a heuristic method for retrieving sparse approximate solution...

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Veröffentlicht in:	EURASIP journal on advances in signal processing Jg. 2024; H. 1; S. 22 - 28
Hauptverfasser:	Sleem, Omar M., Ashour, M. E., Aybat, N. S., Lagoa, Constantino M.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cham Springer International Publishing 01.12.2024 Springer Springer Nature B.V SpringerOpen
Schlagworte:	Algorithms Alternating direction method of multipliers Comparative analysis Compressed sensing Continuity (mathematics) Engineering Heuristic methods Iterative methods Machine learning Matrix completion Operators (mathematics) Optimization Polynomials Quantum Information Technology Rank minimization Signal processing Signal reconstruction Signal,Image and Speech Processing Sparsity Spintronics System identification Alternating direction method of multipliers Sparsity Rank minimization System identification Compressed sensing Matrix completion Proximal gradient method
ISSN:	1687-6180, 1687-6172, 1687-6180
Online-Zugang:	Volltext
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