Dynamical Sparse Signal Recovery with Fixed-Time Convergence - Inria - Institut national de recherche en sciences et technologies du numérique
Article Dans Une Revue Signal Processing Année : 2019

Dynamical Sparse Signal Recovery with Fixed-Time Convergence

Résumé

Arising in a large number of application areas, sparse recovery (SR) has been exhaustively investigated and many algorithms have been proposed. Different from the numerical methods realized by iterative algorithm, the recent continuous approach is realized through analog circuit, which takes advantage of short time-delay and fast convergence faster. However, the existing continuous method for SR still has the space to further improve the convergence speed. Consequently, in this paper, we propose a new dy-namical continuous system to solve the sparse signal recovery problem with fixed-time convergence property.
Fichier principal
Vignette du fichier
fixed_time_edite.pdf (756.76 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-02406715 , version 1 (12-12-2019)

Identifiants

Citer

Junying Ren, Lei Yu, Chengcheng Lyu, Gang Zheng, Hong Sun, et al.. Dynamical Sparse Signal Recovery with Fixed-Time Convergence. Signal Processing, 2019, 162, pp.65-74. ⟨10.1016/j.sigpro.2019.04.010⟩. ⟨hal-02406715⟩
77 Consultations
290 Téléchargements

Altmetric

Partager

More