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Sparse signal reconstruction with a sign oracle

Abstract : Sparse signal reconstruction is performed by minimizing the sum of a least-squares fit regularized with a piecewise rational approximation of 0. We show the benefit of an oracle that yields the sign of the signal when using a recent methodology for global polynomial or semi-algebraic minimization. The computational time and memory cost are both decreased
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https://hal.archives-ouvertes.fr/hal-02196881
Contributor : Arthur Marmin <>
Submitted on : Monday, July 29, 2019 - 4:04:58 PM
Last modification on : Wednesday, August 5, 2020 - 3:44:53 AM

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  • HAL Id : hal-02196881, version 1

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Arthur Marmin, Marc Castella, Jean-Christophe Pesquet. Sparse signal reconstruction with a sign oracle. SPARS 2019 - Signal Processing with Adaptive Sparse Structured Representations - Workshop, Jul 2019, Toulouse, France. ⟨hal-02196881⟩

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