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Signal reconstruction
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41	MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Additive Noise Removal by Sparse Reconstruction on Imagae Affinity Nets Add to Reading List Source URL: www.merl.com Language: English - Date: 2013-09-16 15:21:22 Noise Electronics Image denoising Spatial data analysis Computer vision Noise reduction Peak signal-to-noise ratio K-means clustering Computer cluster Image processing Statistics Computing
42	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
43	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
44	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
45	Locally Adaptive Sampling and Topology Preserving Reconstruction of Nonmanifolds Leonid Tcherniavski, Christian B¨ahnisch and Hans Meine University of Hamburg, 22527 Hamburg, Germany October 21, 2010 Add to Reading List Source URL: kogs-www.informatik.uni-hamburg.de Language: English - Date: 2011-10-26 15:11:23 Signal processing Topology Mathematical analysis Calculus General topology Sinc function Homotopy Medial axis Maxima and minima Mathematics Geometry Algebra
46	Digitales Video 4. IMAGE RESAMPLING 4.1. INTRODUCTION Image resampling is the process of transforming a sampled image from one coordinate system to another. The two coordinate systems are related to each other by the ma Add to Reading List Source URL: www.ldv.ei.tum.de Language: English - Date: 2015-03-24 06:02:05 Electronic engineering Applied mathematics Image processing Linear filters Reconstruction filter Spatial anti-aliasing Sinc filter Image scaling Interpolation Digital signal processing Signal processing Filter theory
47	1st AO4ELT conference, DOI:ao4elt © Owned by the authors, published by EDP Sciences, 2010 Reconstruction Strategies for GeMS Benoit Neichel1,a , Francois Rigaut1 , Matthieu Bec1 , and Aure Add to Reading List Source URL: ao4elt.edpsciences.org Language: English Minimum mean square error Adaptive optics Reconstructor Deformable mirror London School of Economics Signal processing Statistics Estimation theory
48	Modal Fourier wavefront reconstruction using Graphics Processing Units∗ Jos´e G. Marichal-Hern´andez† Jos´e M. Rodr´ıguez-Ramos Fernando Rosa Universidad de La Laguna, Tenerife, Spain Add to Reading List Source URL: pejeverde.lct.ull.es Language: English - Date: 2009-10-29 07:55:06 Computing Fourier analysis Graphics hardware Optics Fast Fourier transform Discrete Fourier transform BrookGPU Wavefront Twiddle factor Mathematical analysis GPGPU Digital signal processing
49	1 A Sparse Signal Reconstruction Perspective for Source Localization with Sensor Arrays Dmitry Malioutov, M¨ujdat C¸etin, and Alan Willsky Add to Reading List Source URL: people.sabanciuniv.edu Language: English - Date: 2005-09-18 07:02:50 Mathematics Mathematical optimization Linear algebra Overcompleteness Maximum likelihood Quadratic programming Sparse matrix Sensor array Statistics Estimation theory M-estimators
50	Reconstruction of equidistant time series using neural networks Ludwik Liszka Swedish Institute of Space Physics Sörfors 634 SUmeå Add to Reading List Source URL: www.umea.irf.se Language: English - Date: 2005-11-24 09:31:23 Digital signal processing Mathematics Time series Equidistant Interpolation

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