THE VALUE OF REDUNDANT MEASUREMENT IN COMPRESSED SENSING Victoria Kostina,p Marco F. Duarte,d , Sina Jafarpourp, Robert Calderbank,p,d p Princeton University, Princeton, NJd

Source URL: vkostina.caltech.edu

PhD position Exploration of wiring diagnostics via compressive sensing: Algorithms and ultra-compact Analog-to-Information (A2I) architectures keywords: wiring diagnostics, reflectometry, fault detection, compressive se

Source URL: www.det.polito.it

• Mathematics
• Digital signal processing
• Applied mathematics
• Compressed sensing
• Linear algebra
• Regression analysis
• Fault detection and isolation
• Analog signal
• Signal
• Signal processing
• Information theory
• Electronic engineering

COMPRESSED SENSING AND MINIMAX DENOISING Toshiyuki Tanaka Department of Systems Science, Graduate School of Informatics, Kyoto University ABSTRACT A sparse vector can be regarded as a collection of sam

Source URL: www.me.inf.kyushu-u.ac.jp

The Restricted Isometry Property and Its Implications for Compressed Sensing Emmanuel J. Cand`es 1 Applied & Computational Mathematics, California Institute of Technology, Pasadena, CAReceived *****; accepte

Source URL: statweb.stanford.edu

1 A Compressed Sensing Parameter Extraction Platform for Radar Pulse Signal Acquisition Juhwan Yoo, Christopher Turnes, Eric Nakamura, Chi Le, Stephen Becker, Emilio Sovero, Michael Wakin, Michael Grant, Justin Romberg,

Source URL: inside.mines.edu

Compressed Sensing with Coherent and Redundant Dictionaries Emmanuel J. Cand`es1∗, Yonina C. Eldar2 , Deanna Needell1 , and Paige Randall3 1 2 Departments of Mathematics and Statistics, Stanford University, Stanford,

Source URL: statweb.stanford.edu

• Signal processing
• Matrices
• Restricted isometry property
• Overcompleteness
• Orthogonal matrix
• Compressed sensing
• Sparse matrix
• Matrix
• Unitary matrix
• Algebra
• Mathematics
• Linear algebra

1 A Non-Uniform Sampler for Wideband Spectrally-Sparse Environments Michael Wakin, Stephen Becker, Eric Nakamura, Michael Grant, Emilio Sovero, Daniel Ching, Juhwan Yoo, Justin Romberg, Azita Emami-Neyestanak, Emmanuel

Source URL: inside.mines.edu

• Telecommunications engineering
• Applied mathematics
• Bandlimiting
• Sampling
• Analog-to-digital converter
• Compressed sensing
• Signal reconstruction
• Downsampling
• Bandwidth
• Digital signal processing
• Signal processing
• Electrical engineering

Nearly Linear-Time Model-Based Compressive Sensing Chinmay Hegde, Piotr Indyk, and Ludwig Schmidt Massachusetts Institute of Technology, Cambridge MA 02139, USA Abstract. Compressive sensing is a method for recording a

Source URL: people.csail.mit.edu

• Analysis of algorithms
• Linear algebra
• Computational complexity theory
• Numerical linear algebra
• Sparse approximation
• Time complexity
• Compressed sensing
• Big O notation
• Tree decomposition
• Theoretical computer science
• Mathematics
• Applied mathematics

PHYSICAL REVIEW B 90, Compressed sensing quantum process tomography for superconducting quantum gates Andrey V. Rodionov,1 Andrzej Veitia,1 R. Barends,2 J. Kelly,2 Daniel Sank,2 J. Wenner,2 John M. Martini

Source URL: www.ee.ucr.edu

• Quantum information science
• Linear algebra
• Information theory
• Models of computation
• Quantum mechanics
• Quantum computer
• Qubit
• Quantum gate
• Compressed sensing
• Theoretical computer science
• Algebra
• Mathematics

Are Sparse Representations Rich Enough for Acoustic Modeling? Oriol Vinyals1 , Li Deng2 1 University of California at Berkeley (Berkeley, CA, US) 2

Source URL: www1.icsi.berkeley.edu

• Signal processing
• Cybernetics
• Learning
• Regression analysis
• Support vector machine
• Linear classifier
• Matching pursuit
• Sparse matrix
• Compressed sensing
• Statistics
• Machine learning
• Statistical classification