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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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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
doaj +2 more sources
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
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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
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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
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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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Time-Varying Channel Estimation Based on Distributed Compressed Sensing for OFDM Systems [PDF]
SensorsFor orthogonal frequency division multiplexing (OFDM) systems in high-mobility scenarios, the estimation of time-varying multipath channels not only has a large error, which affects system performance, but also requires plenty of pilots, resulting in low
Yong Ding +4 more
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Distributed Compressed Sensing of Hyperspectral Images According to Spectral Library Matching
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 +1 more source
Communication-Efficient Distributed SGD With Compressed Sensing [PDF]
IEEE Control Systems Letters, 2022 We consider large scale distributed optimization over a set of edge devices connected to a central server, where the limited communication bandwidth between the server and edge devices imposes a significant bottleneck for the optimization procedure. Inspired by recent advances in federated learning, we propose a distributed stochastic gradient descent (
Yujie Tang +3 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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