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Consistency of l1 recovery from noisy deterministic measurements.

Abstract : In this paper a new result of recovery of sparse vectors from deterministic and noisy measurements by l1 minimization is given. The sparse vector is randomly chosen and follows a generic p-sparse model introduced by Candès and al. [1]. The main theorem ensures consistency of l1 minimization with high probability. This first result is secondly extended to compressible vectors.
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Submitted on : Wednesday, July 23, 2014 - 12:35:40 PM
Last modification on : Saturday, December 4, 2021 - 3:42:58 AM
Long-term archiving on: : Friday, November 21, 2014 - 6:07:42 PM


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  • HAL Id : hal-01023925, version 1


Charles Dossal, Rémi Tesson. Consistency of l1 recovery from noisy deterministic measurements.. Applied and Computational Harmonic Analysis, Elsevier, 2013. ⟨hal-01023925⟩



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