An Introduction To Compressive Sampling

Keywords

Compressed sensing, Computer science, Randomness, Sampling theory, Sampling (signal processing)

References

• The Dantzig selector: Statistical estimation when P is much larger than nEmmanuel J. Candès, Terence Tao — 2005
• Uniform Uncertainty Principle for Bernoulli and Subgaussian EnsemblesShahar Mendelson, Alain Pajor, Nicole Tomczak-Jaegermann — 2006
• Improved time bounds for near-optimal sparse Fourier representationsAnna C. Gilbert, S. Muthukrishnan, Michael Strauss — 2005
• Atomic Decomposition by Basis PursuitScott Shaobing Chen, David L. Donoho, Michael A. Saunders — 1998
• Compressed sensing and best k-term approximationAlbert Cohen, Wolfgang Dahmen, Ronald DeVore — 2008
• A Simple Proof of the Restricted Isometry Property for Random MatricesRichard G. Baraniuk, Mark A. Davenport, Ronald DeVore — 2008
• On sparse reconstruction from Fourier and Gaussian measurementsMark Rudelson, Roman Vershynin — 2008
• Linear inversion of ban limit reflection seismogramsFadil Santosa, William W. Symes — 1986
• Sparse reconstruction by convex relaxation: Fourier and Gaussian measurementsMark Rudelson, Roman Vershynin — 2006
• Uncertainty principles and ideal atomic decompositionDavid L. Donoho, Xiaoming Huo — 2001
• Sparsity and incoherence in compressive samplingEmmanuel J. Candès, Justin Romberg — 2006
• JPEG2000 - image compression fundamentals, standards and practiceDavid Taubman — 2013
• Uncertainty principles and signal recoveryDavid L. Donoho, Philip B. Stark — 1989
• Signal Recovery From Random Measurements Via Orthogonal Matching PursuitJoel A. Tropp, Anna C. Gilbert — 2007
• Decoding by linear programmingEmmanuel J. Candès, Terence Tao — 2005
• Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?Emmanuel J. Candès, Terence Tao — 2004
• Spectrum-blind minimum-rate sampling and reconstruction of multiband signalsPing Feng, Yoram Bresler — 1996
• Regression Shrinkage and Selection via the LassoRobert Tibshirani — 1996
• Robust Modeling With Erratic DataJon F. Claerbout, Francis Muir — 1973
• Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency informationEmmanuel J. Candès, Justin Romberg, Terence Tao — 2004

Cited by

• Non-uniform sampling: algorithms and architecturesChenchi Luo — 2012
• SLEP: Sparse Learning with Efficient ProjectionsJun Liu, Shuiwang Ji, Jieping Ye — 2011
• Find Me the Right Content! Diversity-Based Sampling of Social Media Spaces for Topic-Centric SearchMunmun De Choudhury, Scott Counts, Mary Czerwinski — 2011
• Regularization methods for prediction in dynamic graphs and e-marketing applicationsÉmile Richard — 2012
• On some sparsity related problems and the randomized Kaczmarz algorithmLiang Dai — 2014
• Sparse Signal Processing and Compressed Sensing RecoveryKumar Sahoo Sujit — 2015
• Estimation for Sensor Fusion and Sparse Signal ProcessingDave Zachariah — 2013
• On the Complexity of Mumford–Shah-Type Regularization, Viewed as a Relaxed Sparsity ConstraintTomàs Font i Llovet — 2010
• Sum frequency generation-compressive sensing microscope.Satoshi Otake, John Deen, Scott Dee — 2011
• Compressed Measurement of Structural Similarity IndexS Sankarasrinivasan — 2014
• Compressive-Sampling-Based Positioning in Wireless Body Area NetworksCarlos G. Otero Díaz — 2014
• Time domain compressive beam forming of ultrasound signals.Pedro Triguero-Lizana — 2015
• Reconfigurable Sampling for Enhanced Energy Efficiency in Power-Constrained Wireless SystemsTimothy Kurp — 2011
• Photoacoustic imaging beyond the acoustic diffraction-limit with dynamic speckle illumination and sparse joint support recovery貞衛 山口, 賢治 平賀, 真 平林 — 2016
• Reconstruction of the sound field in a room using compressive sensing.Javier Serrano Pinteño — 2018
• A Self-Adaptive Progressive Support Selection Scheme for Collaborative Wideband Spectrum SensingFrançoise Magnan — 2018
• Data Compression Based on Stacked RBM-AE Model for Wireless Sensor NetworksArmando José Torrent Ruiz — 2018
• Performance of sparse-view CT reconstruction with multi-directional gradient operatorsChia-Jui Hsieh, Shih-Chun Jin, Jyh‐Cheng Chen — 2019
• SpES: A new portable device for objective assessment of hypertonia in clinical practiceJack L. Foley — 2021
• Applications of nonuniform sampling in wideband multichannel communication systemsBashar I. Ahmad — 2011

Related papers

• Compressed sensingDavid L. Donoho — 2006
• Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency informationEmmanuel J. Candès, Justin Romberg, Terence Tao — 2004
• Signal Recovery From Random Measurements Via Orthogonal Matching PursuitJoel A. Tropp, Anna C. Gilbert — 2007
• Stable signal recovery from incomplete and inaccurate measurementsEmmanuel J. Candès, Justin Romberg, Terence Tao — 2005
• Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?Emmanuel J. Candès, Terence Tao — 2004
• Atomic Decomposition by Basis PursuitScott Shaobing Chen, David L. Donoho, Michael A. Saunders — 2001
• Sparsity and incoherence in compressive samplingEmmanuel J. Candès, Justin Romberg — 2006
• Compressive Radar ImagingRichard G. Baraniuk, Philippe Steeghs — 2007
• The restricted isometry property and its implications for compressed sensingEmmanuel J. Candès — 2008