2 research outputs found

    Dynamical Sparse Signal Recovery with Fixed-Time Convergence

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    International audienceArising 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

    Correction to “Convergence and Rate Analysis of Neural Networks for Sparse Approximation” [Sep 12 1377-1389]

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