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

Uloženo v:

Podrobná bibliografie
Vydáno v:	EURASIP journal on advances in signal processing Ročník 2024; číslo 1; s. 22 - 28
Hlavní autoři:	Sleem, Omar M., Ashour, M. E., Aybat, N. S., Lagoa, Constantino M.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Cham Springer International Publishing 01.12.2024 Springer Springer Nature B.V SpringerOpen
Témata:	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 přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!