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...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	EURASIP journal on advances in signal processing Ročník 2024; číslo 1; s. 22 - 28
Hlavní autori:	Sleem, Omar M., Ashour, M. E., Aybat, N. S., Lagoa, Constantino M.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Cham Springer International Publishing 01.12.2024 Springer Springer Nature B.V SpringerOpen
Predmet:	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
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!