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PAC

Information Center for Mathematical Science

PAC

Super-Resolution from Noisy Data
Author Emmanuel J. Candes (Stanford University)
Homepage Url http://math.stanford.edu/directory/faculty.html
Coauthors Carlos Fernandez-Granda
Abstract This paper studies the recovery of a superposition of point sources from noisy bandlimited data. In the fewest possible words, we only have information about the spectrum of an object in the low- frequency band [
Abstract Url http://www-stat.stanford.edu/~candes/papers/robust_SR.pdf