Skip to Main content Skip to Navigation
Journal articles

Dynamical Sparse Signal Recovery with Fixed-Time Convergence

Abstract : 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.
Document type :
Journal articles
Complete list of metadata

Cited literature [30 references]  Display  Hide  Download
Contributor : Gang Zheng Connect in order to contact the contributor
Submitted on : Thursday, December 12, 2019 - 11:19:09 AM
Last modification on : Saturday, July 23, 2022 - 3:53:12 AM
Long-term archiving on: : Friday, March 13, 2020 - 7:34:40 PM


Files produced by the author(s)



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



Record views


Files downloads