Results 1 to 10 of about 664 (112)
Distributed quantization for compressed sensing [PDF]
2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014 We study distributed coding of compressed sensing (CS) measurements using vector quantizer (VQ). We develop a distributed framework for realizing optimized quantizer that enables encoding CS measurements of correlated sparse sources followed by joint decoding at a fusion center.
Saikat Chatterjee +2 more
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Design and Analysis of a Greedy Pursuit for Distributed Compressed Sensing [PDF]
IEEE Transactions on Signal Processing, 2016 Sent to IEEE Transaction on Signal ...
Dennis Sundman +2 more
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Dictionary Design for Distributed Compressive Sensing [PDF]
IEEE Signal Processing Letters, 2015 This work is supported by EPSRC Research Grant EP/K033700/1 and EP/K033166/1, the Fundamental Research Funds for the Central Universities (No. 2014JBM149), the State Key Laboratory of Rail Traffic Control and Safety (RCS2012ZT014) of Beijing Jiaotong University, the Natural Science Foundation of China (U1334202), the Key Grant Project of Chinese ...
Chen, W, Wassell, IJ, Rodrigues, MRD
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Multi-User Distributed Computing Via Compressed Sensing
2023 IEEE Information Theory Workshop (ITW), 2023 The multi-user linearly-separable distributed computing problem is considered here, in which $N$ servers help to compute the real-valued functions requested by $K$ users, where each function can be written as a linear combination of up to $L$ (generally non-linear) subfunctions. Each server computes a fraction $γ$ of the subfunctions, then communicates
Khalesi, Ali +3 more
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Distributed Compressive Sensing
, 2009 42 pages, 6 figures.
Michael B. Wakin +4 more
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Distributed Compressed Sensing off the Grid [PDF]
IEEE Signal Processing Letters, 2015 This letter investigates the joint recovery of a frequency-sparse signal ensemble sharing a common frequency-sparse component from the collection of their compressed measurements. Unlike conventional arts in compressed sensing, the frequencies follow an off-the-grid formulation and are continuously valued in $\left\lbrack 0,1 \right\rbrack$.
Zhenqi Lu +4 more
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Distributed Compressed Video Sensing [PDF]
2009 43rd Annual Conference on Information Sciences and Systems, 2009 This paper proposes a novel framework called Distributed Compressed Video Sensing (DISCOS) - a solution for Distributed Video Coding (DVC) based on the Compressed Sensing (CS) theory. The DISCOS framework compressively samples each video frame independently at the encoder and recovers video frames jointly at the decoder by exploiting an interframe ...
Thong T. Do +5 more
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Methods for Distributed Compressed Sensing [PDF]
Journal of Sensor and Actuator Networks, 2013 Compressed sensing is a thriving research field covering a class of problems where a large sparse signal is reconstructed from a few random measurements. In the presence of several sensor nodes measuring correlated sparse signals, improvements in terms of recovery quality or the requirement for a fewer number of local measurements can be expected if ...
Mikael Skoglund +2 more
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Compressed Sensing-Based Distributed Image Compression [PDF]
Applied Sciences, 2014 In this paper, a new distributed block-based image compression method based on the principles of compressed sensing (CS) is introduced. The coding and decoding processes are performed entirely in the CS measurement domain. Image blocks are classified into key and non-key blocks and encoded at different rates.
Baig, Muhammad +2 more
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Compressed sensing of data with a known distribution [PDF]
Applied and Computational Harmonic Analysis, 2018 22 pages, 7 figures. New colorblind safe figures. Sections 3 and 4 completely rewritten.
Mateo Díaz +3 more
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