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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
2015
Highly Cited
2015
In this letter, we propose a novel remote sensing image fusion method based on the ripplet transform and the compressed sensing… 
Highly Cited
2015
Highly Cited
2015
This paper presents a novel approach to solve the problem of person re-identification in non-overlapping camera views. We… 
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… 
Highly Cited
2011
Highly Cited
2011
We present and analyze a new set of sparse recovery algorithms within the class of hard thresholding methods. We provide optimal… 
Highly Cited
2010
Highly Cited
2010
Compressive Sampling reconstruction techniques require computationally intensive algorithms, often using L1 optimization to… 
2010
2010
The field of compressed sensing has shown that a sparse but otherwise arbitrary vector can be recovered exactly from a small… 
Highly Cited
2009
Highly Cited
2009
In this paper, we propose a new Distributed Video Coding (DVC) algorithm based on Compressive Sampling principles. Our encoding… 
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…