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Compressed sensing

Known as: Compressive sampling, Compressive sensing, Sparse recovery 
Compressed sensing (also known as compressive sensing, compressive sampling, or sparse sampling) is a signal processing technique for efficiently… 
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Related topics

Related topics

48 relations
Augmented Lagrangian methodBabel functionBasis (linear algebra)Basis pursuit

Broader (4)

Information theoryLinear algebraMathematical optimizationSignal processing

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2013
Highly Cited
2013
Compressed Sensing Signal and Data Acquisition in Wireless Sensor Networks and Internet of Things
The emerging compressed sensing (CS) theory can significantly reduce the number of sampling points that directly corresponds to… 
Highly Cited
2012
Highly Cited
2012
Received-Signal-Strength-Based Indoor Positioning Using Compressive Sensing
The recent growing interest for indoor Location-Based Services (LBSs) has created a need for more accurate and real-time indoor… 
Highly Cited
2011
Highly Cited
2011
One‐Bit Compressed Sensing by Linear Programming
We give the first computationally tractable and almost optimal solution to the problem of one‐bit compressed sensing, showing how… 
Review
2010
Review
2010
Sparsity and Compressed Sensing in Radar Imaging
Remote sensing with radar is typically an ill-posed linear inverse problem: a scene is to be inferred from limited measurements… 
Highly Cited
2009
Highly Cited
2009
Boolean Compressed Sensing and Noisy Group Testing
The fundamental task of group testing is to recover a small distinguished subset of items from a large population while… 
Highly Cited
2009
Highly Cited
2009
Multitask Compressive Sensing
Compressive sensing (CS) is a framework whereby one performs N nonadaptive measurements to constitute a vector v isin RN used to… 
Highly Cited
2008
Highly Cited
2008
Bayesian Compressive Sensing Via Belief Propagation
Compressive sensing (CS) is an emerging field based on the revelation that a small collection of linear projections of a sparse… 
Highly Cited
2008
Highly Cited
2008
The secrecy of compressed sensing measurements
  • Y. RachlinD. Baron
  • 46th Annual Allerton Conference on Communication…
  • 2008
  • Corpus ID: 686532
Results in compressed sensing describe the feasibility of reconstructing sparse signals using a small number of linear… 
Highly Cited
2008
Highly Cited
2008
Compressive Sensing for Background Subtraction
Compressive sensing (CS) is an emerging field that provides a framework for image recovery using sub-Nyquist sampling rates. The… 
Highly Cited
2005
Highly Cited
2005
Distributed Compressed Sensing of Jointly Sparse Signals
Compressed sensing is an emerging field based on the revelation that a small collection of linear projections of a sparse signal… 
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