In many applications, one often has fewer equations than unknowns. While this seems hopeless, the premise that the object we wish to recover is sparse or nearly sparse radically changes the problem, making the search for solutions feasible....
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Emmanuel Candes, California Institute of Technology, research interests are in the areas of computational harmonic analysis and approximation theory and their applications to statistical estimation, noise removal, data compression, and poss...
www-stat.stanford.edu/~candes/publications.html
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