Key parameters for iterative thresholding-type algorithm with nonconvex regularization

Iterative thresholding-type algorithm, as one of the typical methods of compressed sensing (CS) theory, is widely used in sparse recovery field, because of its simple computational process. However, the estimation accuracy and convergence speed achieved by this type of algorithm with a nonconvex reg...

Celý popis

Podrobná bibliografie

Vydáno v:	Digital signal processing Ročník 164; s. 105246
Hlavní autoři:	Zhou, Xin, Liu, Zhen, Zhang, Haisu, Zhao, Zhiyuan, Liu, Yongxiang
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Inc 01.09.2025
Témata:	Compressive sensing (CS) Fast iterative shrinkage-thresholding algorithm (FISTA) Iterative half thresholding (IHalfT) Iterative hard thresholding (IHT) Iterative soft thresholding (IST) Normalized iterative hard thresholding (NIHT) Normalized iterative hard thresholding (NIHT) Iterative soft thresholding (IST) Iterative half thresholding (IHalfT) Fast iterative shrinkage-thresholding algorithm (FISTA) Compressive sensing (CS) Iterative hard thresholding (IHT)
ISSN:	1051-2004
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!