Super-Resolution from Noisy Data Emmanuel J. Cand`es∗ and Carlos Fernandez-Granda† October 2012 Abstract This paper studies the recovery of a superposition of point sources from noisy bandlimited data. - Fourier analysis - Document - PDFSEARCH.IO

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	Super-Resolution from Noisy Data Emmanuel J. Cand`es∗ and Carlos Fernandez-Granda† October 2012 Abstract This paper studies the recovery of a superposition of point sources from noisy bandlimited data. Add to Reading List Document Date: 2012-11-06 02:38:39 Open Document File Size: 666,19 KB Share Result on Facebook Company Qlo / Qhi / / Facility Stanford University / / IndustryTerm recovery algorithm / electronic imaging / signal processing / non-optical medical imaging / medical imaging / conventional optical imaging / / Organization Department of Mathematics / Stanford University / / Person Emmanuel J. Cand`es / Carlos Fernandez-Granda / / Product Archos TV+ Portable Video Player (PVP) / Fubini / / SportsLeague Stanford University / / Technology spectroscopy / geophysics / recovery algorithm / medical imaging / / SocialTag Fourier analysis Convolution Functional analysis Image processing Symbol Operator theory Mathematical analysis Abstract algebra Algebra

Super-Resolution from Noisy Data Emmanuel J. Cand`es∗ and Carlos Fernandez-Granda† October 2012 Abstract This paper studies the recovery of a superposition of point sources from noisy bandlimited data.Add to Reading List