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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.
2014
2014
Distributed Compressive Data Aggregation in Large-Scale Wireless Sensor Networks
Tsung-Yi Tsai
,
Wei-Chi Lan
,
Chunlei Liu
,
Min-Te Sun
2014
Corpus ID: 18823111
Abstract—As wireless sensor networks are used extensively in environment and habitat monitoring, the large volume of data…
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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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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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2012
2012
Subspace weighted ℓ2,1 minimization for sparse signal recovery
Chundi Zheng
,
Gang Li
,
Yimin Liu
,
Xiqin Wang
EURASIP Journal on Advances in Signal Processing
2012
Corpus ID: 2211294
In this article, we propose a weighted ℓ2,1 minimization algorithm for jointly-sparse signal recovery problem. The proposed…
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Review
2011
Review
2011
Research on Compressed Sensing
Dai Qiong
2011
Corpus ID: 123692930
According to the conventional Shannon's sampling theorem,in order to represent the analog signal,the sampling rate should not be…
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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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2010
2010
Sparse superposition codes for Gaussian vector quantization
Ioannis Kontoyiannis
,
Kamiar Rahnama Rad
,
S. Gitzenis
IEEE Information Theory Workshop on Information…
2010
Corpus ID: 40024157
A new method is presented for the optimal or near-optimal quantization of memoryless Gaussian data. The basic construction of the…
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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
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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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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