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Compressed sensing
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81	Compressed Sensing in Information Processing (CoSIP) Information on the DFG Priority ProgramJune 2014 │ 10:00 am – 1:00 pm │ TU Berlin Halle V AGENDA Add to Reading List Source URL: www.dialogplattform.tu-berlin.de - Date: 2014-06-10 05:47:12
82	1 A Fr´echet Mean Approach for Compressive Sensing Date Acquisition and Reconstruction in Wireless Sensor Networks Wei Chen, Student Member, IEEE, Miguel R. D. Rodrigues, Member, IEEE, and Ian J. Wassell Add to Reading List Source URL: www.cl.cam.ac.uk Language: English - Date: 2012-10-23 07:44:11 Information theory Multivariate statistics Compressed sensing Linear algebra Regression analysis Applied mathematics Matching pursuit Sparse matrix Signal processing Statistics Mathematics
83	1 Energy Efficient Signal Acquisition in Wireless Sensor Networks : A Compressive Sensing Framework Wei Chen and Ian J. Wassell Add to Reading List Source URL: www.cl.cam.ac.uk Language: English - Date: 2011-11-08 10:19:36 Mathematics Telecommunications engineering Information theory Nyquist–Shannon sampling theorem Compressed sensing Sampling Discrete signal Matching pursuit Signal reconstruction Signal processing Digital signal processing Applied mathematics
84	Distributed Compressive Sensing Reconstruction Via Common Support Discovery Wei Chen∗ , Miguel R. D. Rodrigues† and Ian J. Wassell∗ ∗ † Add to Reading List Source URL: www.cl.cam.ac.uk Language: English - Date: 2011-11-08 10:17:14 Telecommunications engineering Compressed sensing Matching pursuit Wireless sensor network Signal reconstruction Sparse matrix Sensor node Greedy algorithm Sampling rate Signal processing Mathematics Statistics
85	Asia Pacific Mathematics Newsletter 1 Compressive Applications CompressiveSensing Add to Reading List Source URL: www.asiapacific-mathnews.com Language: English - Date: 2012-05-08 21:52:37 Signal processing Linear algebra Matching pursuit Digital signal processing Compressed sensing Sparse approximation Discrete Fourier transform Matrix Rank Algebra Mathematics Numerical linear algebra
86	Uncertainty principles and compressed sensing Jordan Bell April 21, 2010 JEB 1433 Add to Reading List Source URL: individual.utoronto.ca Language: English - Date: 2011-12-12 23:48:37 Unitary operators Integral transforms Fourier transform Joseph Fourier Sinc function Support Fourier inversion theorem Spectral theory of ordinary differential equations Mathematical analysis Fourier analysis Generalized functions
87	Graduate Seminar Online Robust PCA or Online Sparse + Low-Rank Matrix Recovery Dr. Namrata Vaswani Associate Professor, Add to Reading List Source URL: www.ece.cmu.edu Language: English - Date: 2015-02-25 02:10:41 Multivariate statistics Singular value decomposition Signal processing Data analysis Principal component analysis Sparse matrix Compressed sensing Subspace Vector space Algebra Mathematics Linear algebra
88	42 In praise of sparsity and convexity Robert J. Tibshirani Department of Statistics, Stanford, CA To celebrate the 50th anniversary of COPSS, I discuss some examples of exciting developments of sparsity and convexity, Add to Reading List Source URL: statweb.stanford.edu Language: English - Date: 2013-12-13 12:42:42 Least-angle regression Elastic net regularization Least squares Regularization Stepwise regression Compressed sensing Tikhonov regularization Degrees of freedom Additive model Statistics Regression analysis Linear regression
89	UNCERTAINTY PRINCIPLES AND COMPRESSED SENSING JORDAN BELL In this paper I am careful to distinguish between the space of signals and the space of their Fourier transforms. Folland and Sitaram [4] give a survey of uncerta Add to Reading List Source URL: individual.utoronto.ca Language: English - Date: 2015-03-10 13:08:36 Joseph Fourier Dirac delta function Spectral theory of ordinary differential equations Riemann sphere Mathematical analysis Fourier analysis Fourier transform
90	PDF Document Add to Reading List Source URL: www.cl.cam.ac.uk Language: English - Date: 2012-01-13 08:10:43 Matrix Restricted isometry property Orthogonal matrix Eigenvalues and eigenvectors Singular value decomposition Projection Rank Basis Compressed sensing Algebra Mathematics Linear algebra

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