Holger Rauhut

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Simon FoucartProfessor of Mathematics, Texas A&M UniversityE-mail confirmado em tamu.edu
Massimo FornasierProfessor of Applied Numerical Analysis, Technical University of MunichE-mail confirmado em ma.tum.de
Rachel WardUT Austin / Microsoft ResearchE-mail confirmado em math.utexas.edu
Felix KrahmerAssociate Professor for Optimization and Data Analysis, Technische Universität MünchenE-mail confirmado em ma.tum.de
Pierre VandergheynstProfessor of Electrical Engineering, Ecole Polytechnique Fédérale de Lausanne (EPFL)E-mail confirmado em epfl.ch
Karin SchnassResearcher, University of InnsbruckE-mail confirmado em uibk.ac.at
Rémi GribonvalInria & ENS de LyonE-mail confirmado em ens-lyon.fr
Gitta KutyniokBavarian AI Chair for Mathematical Foundations of Artificial Intelligence, LMU MunichE-mail confirmado em math.lmu.de
Georg TauböckFaculty of Mathematics, University of ViennaE-mail confirmado em univie.ac.at
Franz HlawatschInstitute of Telecommunications, TU WienE-mail confirmado em tuwien.ac.at
Götz E. PfanderJacobs UniversityE-mail confirmado em jacobs-university.de
Yonina EldarMath and Computer Science, WeizmannE-mail confirmado em weizmann.ac.il
Richard KuengJohannes Kepler University Linz, AustriaE-mail confirmado em jku.at
Joel A. TroppSteele Family Professor of Applied & Computational Mathematics, CaltechE-mail confirmado em caltech.edu
Tino UllrichProfessor, Faculty of Mathematics, TU ChemnitzE-mail confirmado em mathematik.tu-chemnitz.de
Petros BoufounosMitsubishi Electric Research LaboratoriesE-mail confirmado em merl.com
Jean-Luc BouchotINRIA Sophia-AntipolisE-mail confirmado em inria.fr
Jared TannerProfessor of Mathematics of Information, University of OxfordE-mail confirmado em maths.ox.ac.uk
Hui Zhang （张慧）Computational and Applied MathematicsE-mail confirmado em rice.edu
Jürgen PrestinProfessor für Mathematik, Universität zu LübeckE-mail confirmado em math.uni-luebeck.de

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Holger Rauhut

Professor for Mathematics, LMU Munich

E-mail confirmado em math.lmu.de - Página inicial

applied harmonic analysis compressive sensing deep learning signal and image processing random


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
A mathematical introduction to compressive sensing S Foucart, H Rauhut Birkhäuser, New York, NY, 2013	3842*	2013
Compressed sensing and redundant dictionaries H Rauhut, K Schnass, P Vandergheynst IEEE Transactions on Information Theory 54 (5), 2210-2219, 2008	730	2008
Compressive sensing and structured random matrices H Rauhut Theoretical foundations and numerical methods for sparse recovery 9 (1), 92, 2010	726	2010
Compressive Sensing. M Fornasier, H Rauhut Handbook of mathematical methods in imaging 1, 187-229, 2015	407	2015
Average case analysis of multichannel sparse recovery using convex relaxation YC Eldar, H Rauhut IEEE Transactions on Information Theory 56 (1), 505-519, 2009	374	2009
Compressive estimation of doubly selective channels in multicarrier systems: Leakage effects and sparsity-enhancing processing G Taubock, F Hlawatsch, D Eiwen, H Rauhut IEEE Journal of selected topics in signal processing 4 (2), 255-271, 2010	333	2010
Low-rank matrix recovery via iteratively reweighted least squares minimization M Fornasier, H Rauhut, R Ward SIAM Journal on Optimization 21 (4), 1614-1640, 2011	279	2011
Suprema of chaos processes and the restricted isometry property F Krahmer, S Mendelson, H Rauhut Communications on Pure and Applied Mathematics 67 (11), 1877-1904, 2014	274	2014
Recovery algorithms for vector-valued data with joint sparsity constraints M Fornasier, H Rauhut SIAM Journal on Numerical Analysis 46 (2), 577-613, 2008	269	2008
Iterative thresholding algorithms M Fornasier, H Rauhut Applied and Computational Harmonic Analysis 25 (2), 187-208, 2008	260	2008
Sparse Legendre expansions via ℓ1-minimization H Rauhut, R Ward Journal of approximation theory 164 (5), 517-533, 2012	256	2012
Restricted isometries for partial random circulant matrices H Rauhut, J Romberg, JA Tropp Applied and Computational Harmonic Analysis 32 (2), 242-254, 2012	250	2012
Low rank matrix recovery from rank one measurements R Kueng, H Rauhut, U Terstiege Applied and Computational Harmonic Analysis 42 (1), 88-116, 2017	240	2017
Atoms of all channels, unite! Average case analysis of multi-channel sparse recovery using greedy algorithms R Gribonval, H Rauhut, K Schnass, P Vandergheynst Journal of Fourier analysis and Applications 14, 655-687, 2008	225	2008
Random sampling of sparse trigonometric polynomials, II. Orthogonal matching pursuit versus basis pursuit S Kunis, H Rauhut Foundations of Computational Mathematics 8, 737-763, 2008	213	2008
Low rank tensor recovery via iterative hard thresholding H Rauhut, R Schneider, Ž Stojanac Linear Algebra and its Applications 523, 220-262, 2017	204	2017
Circulant and Toeplitz matrices in compressed sensing H Rauhut arXiv preprint arXiv:0902.4394, 2009	193	2009
Continuous frames, function spaces, and the discretization problem M Fornasier, H Rauhut Journal of Fourier Analysis and Applications 11, 245-287, 2005	185	2005
Interpolation via weighted ℓ1 minimization H Rauhut, R Ward Applied and Computational Harmonic Analysis 40 (2), 321-351, 2016	180	2016
Random sampling of sparse trigonometric polynomials H Rauhut Applied and Computational Harmonic Analysis 22 (1), 16-42, 2007	165	2007

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