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Dynamical sparse signal recovery with fixed-time convergence

机译:具有固定时间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:在众多应用领域中,对稀疏恢复(SR)进行了详尽的研究,并提出了许多算法。与通过迭代算法实现的数值方法不同,最近的连续方法是通过模拟电路实现的,该方法利用了短时延和快速收敛的优点。然而,现有的SR连续方法仍具有进一步提高收敛速度的空间。因此,本文提出了一种新的动态连续系统来解决具有固定时间收敛特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;

  • 收录信息
  • 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;固定时间收敛;

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