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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
2014
Highly Cited
2014
Energy Efficient Cognitive Radio System for Joint Spectrum Sensing and Data Transmission
An energy-efficient cognitive radio system design is suggested that simultaneously meets spectrum sensing reliability and… 
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… 
Review
2010
Review
2010
The Role of Some Functional Equations in Decision Analysis
This paper presents some functional equations that have played an essential role in the characterization of utility and… 
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
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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