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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.
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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2013
2013
On the suitability of compressive sampling for the measurement of electrical power quality
F. Bonavolontã
,
M. D'Arco
,
+6 authors
G. Miele
International Instrumentation and Measurement…
2013
Corpus ID: 24962589
The deeper interconnection and the increasing presence of active devices on the electrical networks is raising many issues…
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2013
2013
Broadband localization in a dispersive medium through sparse wavenumber analysis
J. Harley
,
José M. F. Moura
IEEE International Conference on Acoustics…
2013
Corpus ID: 10785715
Matched field processing is a powerful tool for accurately localizing targets in dispersive media. However, matched field…
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2013
2013
Guaranteed Sparse Recovery under Linear Transformation
Ji Liu
,
Lei Yuan
,
Jieping Ye
International Conference on Machine Learning
2013
Corpus ID: 7234421
We consider the following signal recovery problem: given a measurement matrix Φ ∈ Rn×p and a noisy observation vector c ∈ Rn…
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2010
2010
LATIN 2010: Theoretical Informatics, 9th Latin American Symposium, Oaxaca, Mexico, April 19-23, 2010. Proceedings
A. López-Ortiz
Lecture Notes in Computer Science
2010
Corpus ID: 31153020
Continuous and Discrete Methods in Computer Science.- Colorful Strips.- The Mono- and Bichromatic Empty Rectangle and Square…
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Highly Cited
2009
Highly Cited
2009
Model-Guided Adaptive Recovery of Compressive Sensing
Xiaolin Wu
,
Xiangjun Zhang
,
Jia Wang
Data Compression Conference
2009
Corpus ID: 18769990
For the new signal acquisition methodology of compressive sensing (CS) a challenge is to find a space in which the signal is…
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2007
2007
Analysis of Hot Mix Asphalt (HMA) Linear Viscoelastic and Bimodular Properties Using Uniaxial Compression and Indirect Tension (IDT) Tests
S. Katicha
2007
Corpus ID: 136034413
The major Hot-Mix Asphalt (HMA) input for mechanistic-empirical (M-E) flexible pavement design is the dynamic complex modulus…
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2007
2007
NUMERICAL CALCULATIONS OF ADHESIVE JOINTS SUBJECTED TO SHEARING
J. Godzimirski
,
S. Tkaczuk
2007
Corpus ID: 55187497
The paper proposes a method for determination of mechanical properties of adhesive layers (necessary for numerical calculations…
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2002
2002
Low Cost RF MEMS Switches Fabricated on Microwave Laminate Printed Circuit Boards
Hung-Pin Chang
,
J. Qian
,
B. Cetiner
,
F. De Flaviis
,
M. Bachman
,
G.-P. Li
2002
Corpus ID: 53702719
A novel fabrication process for directly constructing RF MEMS capacitive switches has been developed on microwave laminate…
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1999
1999
Machine Vision and Advanced Image Processing in Remote Sensing
I. Kanellopoulos
,
G. Wilkinson
,
T. Moons
1999
Corpus ID: 62943772