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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.
2013
2013
Energy efficiency analysis of Compressed Sensing Video Streaming for Wireless Multimedia Sensors
Multimedia Wireless Sensor Network (MWSN) [3] provides a low-cost and flexible solution for distributed video surveillance based… 
2011
2011
Impulsive noise estimation and cancellation in DSL using compressive sampling
Impulsive noise is the bottleneck that determines the maximum length of the DSL. Impulsive noise seldom occurs in DSL but when it… 
2010
2010
Perfect secrecy via compressed sensing
In this paper we consider the compressive sensing based encryption and proposed the conditions in which the perfect secrecy is… 
2010
2010
LATIN 2010: Theoretical Informatics, 9th Latin American Symposium, Oaxaca, Mexico, April 19-23, 2010. Proceedings
Continuous and Discrete Methods in Computer Science.- Colorful Strips.- The Mono- and Bichromatic Empty Rectangle and Square… 
2010
2010
Sublinear time, measurement-optimal, sparse recovery for all
An approximate sparse recovery system in l1 norm makes a small number of measurements of a noisy vector with at most k large… 
Highly Cited
2009
Highly Cited
2009
Compressed sensing for MIMO radar - algorithms and performance
Compressed sensing techniques make it possible to exploit the sparseness of radar scenes to potentially improve system… 
Highly Cited
2008
Highly Cited
2008
SUBSPACE CORRECTION METHODS FOR TOTAL VARIATION AND l1−MINIMIZATION
This paper is concerned with the numerical minimization of energy functionals in Hilbert spaces involving convex constraints… 
2008
2008
A Generalized Restricted Isometry Property
Compressive Sampling (CS) describes a method for reconstructing high-dimensional sparse signals from a small number of linear… 
Highly Cited
2004
Highly Cited
2004
Compressed Compact Suffix Arrays
The compact suffix array (CSA) is a space-efficient full-text index, which is fast in practice to search for patterns in a static… 
Highly Cited
2003
Highly Cited
2003
RF MEMS switches fabricated on microwave-laminate printed circuit boards
A novel fabrication process has been developed for directly constructing radio frequency microelectrical mechanical systems (RF… 
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