Quantitative robust uncertainty principles and optimally sparse decompositions

Foundations of Computational Mathematics

Volumn 6, Issue 2, 2006, Pages 227-254

  Candès, Emmanuel J ^a   Romberg, Justin ^a  

^a CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Applications of uncertainty principles; Basis pursuit; Convex optimization; Duality in optimization; Eigenvalues of random matrices; Linear programming; Random matrices; Sparsity; Trigonometric expansion; Uncertainty principle; Wavelets

Indexed keywords

BASIS PURSUITS; DUALITY IN OPTIMIZATION; RANDOM MATRICES; SPARSITY; UNCERTAINTY PRINCIPLES; WAVELETS;

CONVEX OPTIMIZATION; DISCRETE FOURIER TRANSFORMS; EIGENVALUES AND EIGENFUNCTIONS; LINEAR PROGRAMMING;

DECOMPOSITION;

EID: 33744726904     PISSN: 16153375     EISSN: 16153383     Source Type: Journal    
DOI: 10.1007/s10208-004-0162-x     Document Type: Article

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