Overcompleteness

Results: 36



#Item
11ON THE DESIGN OF OPTIMIZED PROJECTIONS FOR SENSING SPARSE SIGNALS IN OVERCOMPLETE DICTIONARIES Wei Chen† Miguel R. D. Rodrigues⋆

ON THE DESIGN OF OPTIMIZED PROJECTIONS FOR SENSING SPARSE SIGNALS IN OVERCOMPLETE DICTIONARIES Wei Chen† Miguel R. D. Rodrigues⋆

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Source URL: www.cl.cam.ac.uk

Language: English - Date: 2012-01-10 09:24:09
121  A Sparse Signal Reconstruction Perspective for Source Localization with Sensor Arrays Dmitry Malioutov, M¨ujdat C¸etin, and Alan Willsky

1 A Sparse Signal Reconstruction Perspective for Source Localization with Sensor Arrays Dmitry Malioutov, M¨ujdat C¸etin, and Alan Willsky

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Source URL: people.sabanciuniv.edu

Language: English - Date: 2005-09-18 07:02:50
13Appl. Comput. Harmon. Anal–358 www.elsevier.com/locate/acha Simultaneous cartoon and texture image inpainting using morphological component analysis (MCA) M. Elad a,∗ , J.-L. Starck b , P. Querre b , D

Appl. Comput. Harmon. Anal–358 www.elsevier.com/locate/acha Simultaneous cartoon and texture image inpainting using morphological component analysis (MCA) M. Elad a,∗ , J.-L. Starck b , P. Querre b , D

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Source URL: jstarck.free.fr

Language: English - Date: 2006-12-21 11:35:30
14Change Detection in Time Series Data Using Wavelet Footprints Mehdi Sharifzadeh, Farnaz Azmoodeh, and Cyrus Shahabi Computer Science Department, University of Southern California, Los Angeles, CA {sharifza, az

Change Detection in Time Series Data Using Wavelet Footprints Mehdi Sharifzadeh, Farnaz Azmoodeh, and Cyrus Shahabi Computer Science Department, University of Southern California, Los Angeles, CA {sharifza, az

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Source URL: infolab.usc.edu

Language: English - Date: 2009-11-05 01:09:01
15Sparse Feature Learning for Deep Belief Networks  Marc’Aurelio Ranzato1 Y-Lan Boureau2,1 Yann LeCun1 1

Sparse Feature Learning for Deep Belief Networks Marc’Aurelio Ranzato1 Y-Lan Boureau2,1 Yann LeCun1 1

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Source URL: yann.lecun.com

Language: English - Date: 2007-11-14 18:21:11
16Blind Source Separation: the Sparsity Revolution Bobin J. a Starck J.-L. a Moudden Y. a Fadili M.J. b a Laboratoire

Blind Source Separation: the Sparsity Revolution Bobin J. a Starck J.-L. a Moudden Y. a Fadili M.J. b a Laboratoire

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Source URL: jstarck.free.fr

Language: English - Date: 2008-01-31 05:46:58
171  Weighted Averaging for Denoising with Overcomplete Dictionaries Onur G. Guleryuz DoCoMo Communications Laboratories USA, Inc.

1 Weighted Averaging for Denoising with Overcomplete Dictionaries Onur G. Guleryuz DoCoMo Communications Laboratories USA, Inc.

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Source URL: eeweb.poly.edu

Language: English - Date: 2007-11-05 20:59:09
18The Starlet Transform in Astronomical Data Processing: Application to Source Detection and Image Deconvolution J.-L. Starck ∗, F. Murtagh †, M. Bertero ‡

The Starlet Transform in Astronomical Data Processing: Application to Source Detection and Image Deconvolution J.-L. Starck ∗, F. Murtagh †, M. Bertero ‡

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Source URL: jstarck.free.fr

Language: English - Date: 2011-08-05 04:11:45
194 Social Interaction 4-1 Basic Study for Cognition and Manipulation of the Body Image MAEKAWA Satoshi In recent years, it becomes clear that the body image is not inherent, but have plasticity. This fact suggests that th

4 Social Interaction 4-1 Basic Study for Cognition and Manipulation of the Body Image MAEKAWA Satoshi In recent years, it becomes clear that the body image is not inherent, but have plasticity. This fact suggests that th

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Source URL: www.nict.go.jp

Language: English - Date: 2007-12-11 08:56:34
20Curvelet / Time–frequency analysis / Mathematics / Functional analysis / Wavelet / Daubechies wavelet / Fourier series / Discontinuity / Overcompleteness / Wavelets / Mathematical analysis / Image processing

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

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Source URL: www.curvelet.org

Language: English - Date: 2013-08-09 15:51:51