Recovering an unknown signal completely submerged in strong noise by a new stochastic resonance method

Author:

Huang Dawen,Yang JianhuaORCID,Zhou Dengji,Sanjuán Miguel A.F.ORCID,Liu Houguang

Funder

National Natural Science Foundation of China

Priority Academic Program Development of Jiangsu Higher Education Institutions

Top-notch Academic Programs Project of Jiangsu Higher Education Institutions

Spanish State Research Agency (AEI)

European Regional Development Fund (FEDER)

Fulbright Program and the Spanish Ministry of Education

Publisher

Elsevier BV

Subject

Applied Mathematics,Modelling and Simulation,Numerical Analysis

Reference33 articles.

1. Compressed sensing;Donoho;IEEE T Inform Theory,2012

2. Exact signal recovery from sparsely corrupted measurements through the pursuit of justice;Laska,2009

3. Orthogonal matching pursuit for sparse signal recovery with noise;Cai;IEEE T Inform Theory,2011

4. Signal recovery from incomplete and inaccurate measurements via regularized orthogonal matching pursuit;Needell;IEEE J-STSP,2010

5. Near-optimal signal recovery from random projections: universal encoding strategies?;Candes;IEEE T Inform Theory,2006

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