Curvelets – A Surprisingly Effective Nonadaptive Representation For Objects with Edges Emmanuel J. Cand`es and David L. Donoho Abstract. It is widely believed that to efficiently represent an otherwise smooth object wi - Mathematical objects - Document - PDFSEARCH.IO

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	Curvelets – A Surprisingly Effective Nonadaptive Representation For Objects with Edges Emmanuel J. Cand`es and David L. Donoho Abstract. It is widely believed that to efficiently represent an otherwise smooth object wi Add to Reading List Document Date: 2013-08-09 15:51:51 Open Document File Size: 601,38 KB Share Result on Facebook City Nashville / / Company Vanderbilt University Press / Common sense / / IndustryTerm important imaging applications / polynomialdepth search formalism / polynomial depth search constraints / image analysis applications / image synthesis applications / photographic imaging / polynomial depth search rule / wavelet systems / polynomial depth search / / Organization Vanderbilt University / / Person Emmanuel J. Cand`es / Larry L. Schumaker / / Position normally-endowed analyst / analyst / image analyst / ideally-privileged image analyst / / ProvinceOrState Tennessee / / Technology fluid dynamics / CAD / / SocialTag Curvelet Time–frequency analysis Mathematics Functional analysis Wavelet Daubechies wavelet Fourier series Discontinuity Overcompleteness Wavelets

Curvelets – A Surprisingly Effective Nonadaptive Representation For Objects with Edges Emmanuel J. Cand`es and David L. Donoho Abstract. It is widely believed that to efficiently represent an otherwise smooth object wiAdd to Reading List