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Dynamical sparse signal recovery with fixed-time convergence

机译:具有固定时收敛的动态稀疏信号恢复

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摘要

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. 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 dynamical continuous system to solve the sparse signal recovery problem with fixed-time convergence property. (C) 2019 Elsevier B.V. All rights reserved.
机译:在大量应用领域产生,稀疏地研究了稀疏恢复(SR),并提出了许多算法。与迭代算法实现的数值方法不同,最近通过模拟电路实现了最近的连续方法,这利用短时延迟和快速收敛性。然而,现有的SR的连续方法仍然具有进一步提高收敛速度的空间。因此,在本文中,我们提出了一种新的动态连续系统,解决了固定时间收敛性的稀疏信号恢复问题。 (c)2019 Elsevier B.v.保留所有权利。

著录项

  • 来源
    《Signal processing》 |2019年第9期|65-74|共10页
  • 作者单位

    Wuhan Univ Sch Elect Informat Signal Proc Lab Wuhan 430072 Hubei Peoples R China;

    Wuhan Univ Sch Elect Informat Signal Proc Lab Wuhan 430072 Hubei Peoples R China;

    Wuhan Univ Sch Elect Informat Signal Proc Lab Wuhan 430072 Hubei Peoples R China;

    INRIA Lille Nor Europe 40 Ave Halley F-59650 Villeneuve Dascq France;

    ENSEA Quartz EA 7393 6 Ave Ponce F-95014 Cergy Pontoise France;

    Wuhan Univ Sch Elect Informat Signal Proc Lab Wuhan 430072 Hubei Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Sparse recovery; Dynamical system; Fixed-time convergence;

    机译:稀疏恢复;动态系统;定时收敛;

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