Recursive estimation and time-series analysis: an introduction
Recursive estimation and time-series analysis: an introduction
Linear inversion of ban limit reflection seismograms
SIAM Journal on Scientific and Statistical Computing
System identification (2nd ed.): theory for the user
System identification (2nd ed.): theory for the user
Database-friendly random projections
PODS '01 Proceedings of the twentieth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
JPEG 2000: Image Compression Fundamentals, Standards and Practice
JPEG 2000: Image Compression Fundamentals, Standards and Practice
Atomic Decomposition by Basis Pursuit
SIAM Review
Iterated Hard Shrinkage for Minimization Problems with Sparsity Constraints
SIAM Journal on Scientific Computing
Uniform Uncertainty Principle and Signal Recovery via Regularized Orthogonal Matching Pursuit
Foundations of Computational Mathematics
A fast approach for overcomplete sparse decomposition based on smoothed l0 norm
IEEE Transactions on Signal Processing
A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
SIAM Journal on Imaging Sciences
A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
SIAM Journal on Imaging Sciences
Subspace pursuit for compressive sensing signal reconstruction
IEEE Transactions on Information Theory
Efficient and robust compressed sensing using optimized expander graphs
IEEE Transactions on Information Theory
Fast algorithms for nonconvex compressive sensing: MRI reconstruction from very few data
ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
Compressed sensing metal artifact removal in dental CT
ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
Sequential sparse matching pursuit
Allerton'09 Proceedings of the 47th annual Allerton conference on Communication, control, and computing
Bayesian compressive sensing via belief propagation
IEEE Transactions on Signal Processing
Analysis of orthogonal matching pursuit using the restricted isometry property
IEEE Transactions on Information Theory
IEEE Transactions on Signal Processing
Sampling signals with finite rate of innovation
IEEE Transactions on Signal Processing
Reduce and Boost: Recovering Arbitrary Sets of Jointly Sparse Vectors
IEEE Transactions on Signal Processing - Part I
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Compressed Sensing and Redundant Dictionaries
IEEE Transactions on Information Theory
A New TwIST: Two-Step Iterative Shrinkage/Thresholding Algorithms for Image Restoration
IEEE Transactions on Image Processing
48th and 49th international conferences "decision and control" (IEEE CDC/CCC 2009 and CDC 2010)
Automation and Remote Control
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A new paradigm for processing signals with sparse representation in some basis is actively developed for some time past. It relies largely on the ideas of measurement randomization and l1-optimization. The recent methods of acquisition and representation of the compressed data were christened compressive sensing.