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Compressed sensing
Known as:
Compressive sampling
, Compressive sensing
, Sparse recovery
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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 method
Babel function
Basis (linear algebra)
Basis pursuit
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Broader (4)
Information theory
Linear algebra
Mathematical optimization
Signal processing
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2015
Highly Cited
2015
Remote Sensing Image Fusion Using Ripplet Transform and Compressed Sensing
Morteza Ghahremani
,
H. Ghassemian
IEEE Geoscience and Remote Sensing Letters
2015
Corpus ID: 12812491
In this letter, we propose a novel remote sensing image fusion method based on the ripplet transform and the compressed sensing…
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Highly Cited
2015
Highly Cited
2015
Sparse re-id: Block sparsity for person re-identification
S. Karanam
,
Y. Li
,
R. Radke
IEEE Conference on Computer Vision and Pattern…
2015
Corpus ID: 9835962
This paper presents a novel approach to solve the problem of person re-identification in non-overlapping camera views. We…
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Highly Cited
2014
Highly Cited
2014
Energy Efficient Cognitive Radio System for Joint Spectrum Sensing and Data Transmission
Subhankar Chatterjee
,
S. Maity
,
T. Acharya
IEEE Journal on Emerging and Selected Topics in…
2014
Corpus ID: 21513698
An energy-efficient cognitive radio system design is suggested that simultaneously meets spectrum sensing reliability and…
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2013
2013
Energy efficiency analysis of Compressed Sensing Video Streaming for Wireless Multimedia Sensors
H. Reshmi
,
Neethu Kuriyakose
,
D. ParameshachariB.
,
H. S. Divakaramurthy
,
A. Jose
2013
Corpus ID: 61437312
Multimedia Wireless Sensor Network (MWSN) [3] provides a low-cost and flexible solution for distributed video surveillance based…
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Highly Cited
2011
Highly Cited
2011
Recipes on hard thresholding methods
Anastasios Kyrillidis
,
V. Cevher
IEEE International Workshop on Computational…
2011
Corpus ID: 14996037
We present and analyze a new set of sparse recovery algorithms within the class of hard thresholding methods. We provide optimal…
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Highly Cited
2010
Highly Cited
2010
Compressive sampling hardware reconstruction
Avi Septimus
,
Raphael Steinberg
Proceedings of IEEE International Symposium on…
2010
Corpus ID: 26197709
Compressive Sampling reconstruction techniques require computationally intensive algorithms, often using L1 optimization to…
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2010
2010
“Compressed” compressed sensing
G. Reeves
,
M. Gastpar
IEEE International Symposium on Information…
2010
Corpus ID: 16670540
The field of compressed sensing has shown that a sparse but otherwise arbitrary vector can be recovered exactly from a small…
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Highly Cited
2009
Highly Cited
2009
Distributed Video Coding using Compressive Sampling
J. Prades-Nebot
,
Yi Ma
,
Thomas S. Huang
Picture Coding Symposium
2009
Corpus ID: 15321761
In this paper, we propose a new Distributed Video Coding (DVC) algorithm based on Compressive Sampling principles. Our encoding…
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Highly Cited
2004
Highly Cited
2004
Compressed Compact Suffix Arrays
V. Mäkinen
,
G. Navarro
Annual Symposium on Combinatorial Pattern…
2004
Corpus ID: 37971201
The compact suffix array (CSA) is a space-efficient full-text index, which is fast in practice to search for patterns in a static…
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Highly Cited
2003
Highly Cited
2003
RF MEMS switches fabricated on microwave-laminate printed circuit boards
Hung-Pin Chang
,
Jiangyuan Qian
,
B. Cetiner
,
F. De Flaviis
,
M. Bachman
,
G. Li
IEEE Electron Device Letters
2003
Corpus ID: 43355898
A novel fabrication process has been developed for directly constructing radio frequency microelectrical mechanical systems (RF…
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