A null space analysis of the ℓ1-synthesis method in dictionary-based compressed sensing

Author:

Chen Xuemei,Wang Haichao,Wang RongrongORCID

Funder

Defense Threat Reduction Agency

DARPA

Publisher

Elsevier BV

Subject

Applied Mathematics

Reference28 articles.

1. Stability and robustness of ℓq minimization using null space property;Aldroubi,2011

2. Perturbations of measurement matrices and dictionaries in compressed sensing;Aldroubi;Appl. Comput. Harmon. Anal.,2012

3. Full Spark frames;Alexeev;J. Fourier Anal. Appl.,2012

4. Compressed sensing with coherent and redundant dictionaries;Candes;Appl. Comput. Harmon. Anal.,2010

5. Stable signal recovery from incomplete and inaccurate measurements;Candes;Comm. Pure Appl. Math.,2006

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1. Frame-based block sparse compressed sensing via $$l_2/l_1$$-synthesis;EURASIP Journal on Advances in Signal Processing;2024-07-16

2. Null Space Property for Frame-Based Block Sparse Compressed Sensing Via L2/Lq-Synthesis(0<Q≤1);2024

3. A unified recovery of structured signals using atomic norm;Information and Inference: A Journal of the IMA;2023-12-27

4. Sampling Rates for $$\ell ^1$$-Synthesis;Foundations of Computational Mathematics;2022-08-29

5. Robust recovery of a kind of weighted l1-minimization without noise level;International Journal of Wavelets, Multiresolution and Information Processing;2022-04-22

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