Results 21 to 30 of about 72,358 (316)
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
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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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Distributed Compressed Hyperspectral Sensing Imaging Based on Spectral Unmixing
Sensors, 2020 The huge volume of hyperspectral imagery demands enormous computational resources, storage memory, and bandwidth between the sensor and the ground stations.
Zhongliang Wang, Hua Xiao
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IEEE Photonics Journal, 2021 The problem of long-distance imaging through time-varying scattering media, such as the atmosphere, is encountered in many science fields. Recent studies have demonstrated that random atmospheric variability can be considered a spatial light modulator in
Xuelin Lei +6 more
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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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Leida xuebao, 2020 High-resolution wide-swath SAR moving target imaging is of great significance for target tracking. To achieve target tracking, conversional space-based multichannel SAR technology requires a large number of channels.
PAN Jie +3 more
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Frontiers in Energy Research, 2022 The current disturbance classification of power quality data often has the problem of low disturbance recognition accuracy due to its large volume and difficult feature extraction.
Xin Xia +6 more
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On the Performance of Turbo Signal Recovery with Partial DFT Sensing Matrices [PDF]
, 2015 This letter is on the performance of the turbo signal recovery (TSR) algorithm for partial discrete Fourier transform (DFT) matrices based compressed sensing.
Ma, Junjie, Ping, Li, Yuan, Xiaojun
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Distributed Compressive Sensing
, 2009 42 pages, 6 figures.
Baron, Dror +4 more
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