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 ...
Chatterjee, Saikat +2 more
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Distributed Compressed Sensing off the Grid [PDF]
IEEE Signal Processing Letters, 2014 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.
Jiang, Sumxin +4 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.
Dennis Sundman +2 more
doaj +3 more sources
Power quality data processing method based on a distributed compressed sensing and learning dictionary [PDF]
The Journal of Engineering, 2020 For the characteristics of a random distribution and a large number of buses in the power system, the authors introduce distributed compressed sensing to compress and reconstruct the power quality data. They built a distributed IEEE14 bus system in PSCAD.
Huanan Yu, Honghao Yu
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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.
Muhammad Yousuf Baig +2 more
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Distributed Compressed Sensing of Hyperspectral Images According to Spectral Library Matching [PDF]
IEEE Access, 2021 The ever-increasing resolution puts tremendous pressure to the onboard hyperspectral imaging system. Compressed sensing technology is one of the important ways to solve this problem.
Hua Xiao, Zhongliang Wang, Xueying Cui
doaj +2 more sources
CDCS: Cluster-Based Distributed Compressed Sensing to Facilitate QoS Routing in Cognitive Video Sensor Networks [PDF]
Entropy, 2019 Compressed sensing based in-network compression methods which minimize data redundancy are critical to cognitive video sensor networks. However, most existing methods require a large number of sensors for each measurement, resulting in significant ...
Hang Shen +3 more
doaj +2 more sources
Distributed Compressed Sensing Based Ground Moving Target Indication for Dual-Channel SAR System [PDF]
Sensors, 2018 The dual-channel synthetic aperture radar (SAR) system is widely applied in the field of ground moving-target indication (GMTI). With the increase of the imaging resolution, the resulting substantial raw data samples increase the transmission and storage
Jing Liu +3 more
doaj +2 more sources
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
openaire +5 more sources
Distributed Compressed Sensing for Sensor Networks with Packet Erasures [PDF]
2014 IEEE Global Communications Conference, 2014 We study two approaches to distributed compressed sensing for in-network data compression and signal reconstruction at a sink in a wireless sensor network where sensors are placed on a straight line.
Amat, Alexandre Graell i +2 more
core +3 more sources