William Mantzel

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Common Coauthors
Coauthor Papers Together
Justin Romberg 5
M. Salman Asif 1
Karim G. Sabra 1
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat A Simple Proof of the Restricted Isometry Property for Random Matrices 2008 Richard G. Baraniuk
Mark A. Davenport
Ronald DeVore
Michael B. Wakin
4
+ PDF Chat Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies? 2006 Emmanuel J. Candès
Terence Tao
4
+ Compressed sensing 2006 David L. Donoho
3
+ PDF Chat Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization 2010 Benjamin Recht
Maryam Fazel
Pablo A. Parrilo
3
+ PDF Chat Robust Recovery of Signals From a Structured Union of Subspaces 2009 Yonina C. Eldar
Moshe Mishali
3
+ Extensions of Lipschitz mappings into a Hilbert space 1984 William B. Johnson
Joram Lindenstrauss
3
+ PDF Chat Stable signal recovery from incomplete and inaccurate measurements 2006 Emmanuel J. Candès
Justin Romberg
Terence Tao
3
+ An elementary proof of a theorem of Johnson and Lindenstrauss 2002 Sanjoy Dasgupta
Anupam Gupta
3
+ Near Minimax Line Spectral Estimation 2013 Gongguo Tang
Badri Narayan Bhaskar
Benjamin Recht
2
+ Local Operator Theory, Random Matrices and Banach Spaces 2001 Kenneth R. Davidson
Stanisław J. Szarek
2
+ PDF Chat Stable Manifold Embeddings With Structured Random Matrices 2013 Han Lun Yap
Michael B. Wakin
Christopher J. Rozell
2
+ DISTRIBUTION OF EIGENVALUES FOR SOME SETS OF RANDOM MATRICES 1967 V A Marčenko
L. А. Pastur
2
+ Reconstruction and Subgaussian Operators in Asymptotic Geometric Analysis 2007 Shahar Mendelson
Alain Pajor
Nicole Tomczak-Jaegermann
2
+ PDF Chat Time-Delay Estimation From Low-Rate Samples: A Union of Subspaces Approach 2010 Kfir Gedalyahu
Yonina C. Eldar
2
+ Empirical processes and random projections 2004 Bo’az Klartag
Shahar Mendelson
2
+ Tail bounds via generic chaining 2013 Sjoerd Dirksen
2
+ Dimensionality reduction with subgaussian matrices: a unified theory 2014 Sjoerd Dirksen
2
+ Tight oracle bounds for low-rank matrix recovery from a minimal number of random measurements 2010 Emmanuel J. Candès
Yaniv Plan
2
+ PDF Chat User-Friendly Tail Bounds for Sums of Random Matrices 2011 Joel A. Tropp
2
+ PDF Chat Sparse Recovery From Combined Fusion Frame Measurements 2011 Petros T. Boufounos
Gitta Kutyniok
Holger Rauhut
2
+ PDF Chat Compressive Sampling of Multiple Sparse Signals Having Common Support Using Finite Rate of Innovation Principles 2011 Ali Hormati
Martin Vetterli
1
+ PDF Chat Matched Filtering From Limited Frequency Samples 2013 Armin Eftekhari
Justin Romberg
Michael B. Wakin
1
+ PDF Chat An iterative thresholding algorithm for linear inverse problems with a sparsity constraint 2004 Ingrid Daubechies
Michel Defrise
Christine De Mol
1
+ PDF Chat Finding Structure with Randomness: Probabilistic Algorithms for Constructing Approximate Matrix Decompositions 2011 Nathan Halko
Per‐Gunnar Martinsson
Joel A. Tropp
1
+ PDF Chat Compressive matched-field processing 2012 William Mantzel
Justin Romberg
Karim G. Sabra
1
+ PDF Chat Imaging via Compressive Sampling 2008 Justin Romberg
1
+ Uncertainty Principles and Signal Recovery 1989 David L. Donoho
Philip B. Stark
1
+ PDF Chat Decoding by Linear Programming 2005 Emmanuel J. Candès
Terence Tao
1
+ Weak Convergence and Empirical Processes 1996 Aad van der Vaart
Jon A. Wellner
1
+ PDF Chat Strong converse for identification via quantum channels 2002 Rudolf Ahlswede
Andreas Winter
1
+ PDF Chat Block-Sparse Signals: Uncertainty Relations and Efficient Recovery 2010 Yonina C. Eldar
Patrick Kuppinger
Helmut BĂślcskei
1
+ PDF Chat Compressive Parameter Estimation in AWGN 2014 Dinesh Ramasamy
Sriram Venkateswaran
Upamanyu Madhow
1
+ PDF Chat Blind Deconvolution Using Convex Programming 2014 Ali Ahmed
Benjamin Recht
Justin Romberg
1
+ PDF Chat Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information 2006 Emmanuel J. Candès
Justin Romberg
Terence Tao
1
+ PDF Chat Compressed Remote Sensing of Sparse Objects 2010 Albert Fannjiang
Thomas Strohmer
Pengchong Yan
1
+ PDF Chat Quantitative Robust Uncertainty Principles and Optimally Sparse Decompositions 2005 Emmanuel J. Candès
Justin Romberg
1
+ Manifold-Based Signal Recovery and Parameter Estimation from Compressive Measurements 2010 Michael B. Wakin
1
+ PDF Chat Empirical Processes with a Bounded Ψ 1 Diameter 2010 Shahar Mendelson
1
+ CoSaMP: Iterative signal recovery from incomplete and inaccurate samples 2008 Deanna Needell
Joel A. Tropp
1
+ Convex Optimization 2004 Stephen Boyd
Lieven Vandenberghe
1
+ PDF Chat Sparse channel separation using random probes 2010 Justin Romberg
Ramesh Neelamani
1
+ PDF Chat Model-Based Compressive Sensing 2010 Richard G. Baraniuk
Volkan Cevher
Marco F. Duarte
Chinmay Hegde
1
+ Convex Optimization 2004 Stephen Boyd
Lieven Vandenberghe
1
+ Toward a unified theory of sparse dimensionality reduction in Euclidean space 2013 Jean Bourgain
Sjoerd Dirksen
Jelani Nelson
1
+ Geometric approach to error correcting codes and reconstruction of signals 2005 Mark Rudelson
Roman Vershynin
1
+ Von Neumann entropy penalization and low-rank matrix estimation 2011 Vladimir Koltchinskii
1
+ PDF Chat Introduction to the non-asymptotic analysis of random matrices 2012 Roman Vershynin
1
+ PDF Chat The Concentration of Measure Phenomenon 2005 Michel Ledoux
1
+ Sparse Approximate Solutions to Linear Systems 1995 B. K. Natarajan
1
+ PDF Chat Compressive Parameter Estimation for Sparse Translation-Invariant Signals Using Polar Interpolation 2014 Karsten Fyhn
Marco F. Duarte
Søren Holdt Jensen
1