Weighted $\ell_p$-Minimization for Sparse Signal Recovery under Arbitrary Support Prior
نویسندگان
چکیده
منابع مشابه
Weighted ℓ1-Minimization for Sparse Recovery under Arbitrary Prior Information
Weighted l1-minimization has been studied as a technique for the reconstruction of a sparse signal from compressively sampled measurements when prior information about the signal, in the form of a support estimate, is available. In this work, we study the recovery conditions and the associated recovery guarantees of weighted l1-minimization when arbitrarily many distinct weights are permitted. ...
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Weighted l1-minimization has been studied as a technique for the reconstruction of a sparse signal from compressively sampled measurements when prior information about the signal, in the form of a support estimate, is available. In this work, we study the recovery conditions and the associated recovery guarantees of weighted l1-minimization when arbitrarily many distinct weights are permitted. ...
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ژورنال
عنوان ژورنال: Analysis in Theory and Applications
سال: 2021
ISSN: ['1672-4070', '1573-8175']
DOI: https://doi.org/10.4208/ata.2021.lu80.02