Results 21 to 30 of about 7,447 (293)
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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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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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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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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A Compressed Sensing Approach for Distribution Matching [PDF]
2018 IEEE International Symposium on Information Theory (ISIT), 2018 In this work, we formulate the fixed-length distribution matching as a Bayesian inference problem. Our proposed solution is inspired from the compressed sensing paradigm and the sparse superposition (SS) codes. First, we introduce sparsity in the binary source via position modulation (PM).
Laurent Schmalen +2 more
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Harmonic analysis in distributed power system based on IoT and dynamic compressed sensing
Energy Reports, 2022 Massive distributed clean energy takes power electronic equipment as the grid access connector, which brings serious harmonic pollutions. To monitor the power quality in the massive distributed power systems, this paper proposes a real-time harmonic ...
Yuqing Niu +5 more
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Efficient distributed storage strategy based on compressed sensing for space information network
International Journal of Distributed Sensor Networks, 2016 This article investigates the distributed data storage problem with compressed sensing in the space information network. Since there exists a performance-energy trade-off, most existing strategies focus only on improving the compressed sensing ...
Bo Kong +4 more
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Distributed Compressive Sensing: A Deep Learning Approach [PDF]
IEEE Transactions on Signal Processing, 2016 Various studies that address the compressed sensing problem with Multiple Measurement Vectors (MMVs) have been recently carried. These studies assume the vectors of the different channels to be jointly sparse. In this paper, we relax this condition. Instead we assume that these sparse vectors depend on each other but that this dependency is unknown. We
Hamid Palangi, Rabab Ward, Li Deng
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A distributed estimation method over network based on compressed sensing
International Journal of Distributed Sensor Networks, 2019 This article presents a distributed estimation method called compressed-combine-reconstruct-adaptive to estimate an unknown sparse parameter of interest from noisy measurement over networks based on compressed sensing.
Lin Li, Donghui Li
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