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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.
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https://hal.inria.fr/hal-02406715
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Submitted on : Thursday, December 12, 2019 - 11:19:09 AM
Last modification on : Wednesday, July 21, 2021 - 2:16:02 PM
Long-term archiving on: : Friday, March 13, 2020 - 7:34:40 PM

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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⟩

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