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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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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2014
Highly Cited
2014
An energy-efficient cognitive radio system design is suggested that simultaneously meets spectrum sensing reliability and… 
2013
2013
Multimedia Wireless Sensor Network (MWSN) [3] provides a low-cost and flexible solution for distributed video surveillance based… 
Review
2010
Review
2010
This paper presents some functional equations that have played an essential role in the characterization of utility and… 
2010
2010
In this paper we consider the compressive sensing based encryption and proposed the conditions in which the perfect secrecy is… 
2008
2008
We address post-silicon characterization of the unique gate delays and their timing distributions on each manufactured IC. Our… 
2008
2008
Compressive Sampling (CS) describes a method for reconstructing high-dimensional sparse signals from a small number of linear… 
Highly Cited
2008
Highly Cited
2008
This paper is concerned with the numerical minimization of energy functionals in Hilbert spaces involving convex constraints… 
Highly Cited
2004
Highly Cited
2004
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
A novel fabrication process has been developed for directly constructing radio frequency microelectrical mechanical systems (RF…