Distributed compressed sensing for the MIMO MAC with correlated sources [PDF]
, 2012 Steven Corroy, Rudolf Mathar
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Distributed and Cooperative Compressive Sensing Recovery Algorithm for Wireless Sensor Networks with Bi-directional Incremental Topology [PDF]
, 2021 Ghanbar Azarnia +2 more
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Distributed Compressive Sensing: Performance Analysis with Diverse Signal Ensembles [PDF]
, 2018 Sung-Hsien Hsieh +3 more
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Distributed variational sparse Bayesian compressed sensing based on factor graphs
Tongxin xuebao, 2014 A distributed variational sparse Bayesian compressed spectrum sensing algorithm based on factor graph was proposed,which decomposed the global spectrum sensing problem into local problem based on factor and variation.Belief propagation was used for the ...
Cui-tao ZHU +3 more
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Digital Communications and Networks, 2023 Compressed Sensing (CS) is a Machine Learning (ML) method, which can be regarded as a single-layer unsupervised learning method. It mainly emphasizes the sparsity of the model.
Han Wang +5 more
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Evaluating the Performance of Compressive Sensing in Fiber-Optic Distributed Brillouin Sensors [PDF]
, 2023 Felipe Díaz, Marcelo A. Soto
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Compressive Sensing-Based Optimal Reactive Power Control of a Multi-Area Power System
IEEE Access, 2017 To deal with the increasing load demand and environmental effects of conventional power devices, power system has become an enlarged complex network with the integration of distributed generators.
Irfan Khan +3 more
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Distributed Random Multi-Hop Compressed Sensing in 3-D Underwater Sensor Networks [PDF]
, 2014 Gongliang Liu +3 more
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Design of the Quantization Matrix in the Distributed Compressed Sensing Video Coding
, 2016 In the frame of compressed sensing distributed video coding, the design of the quantization matrix directly affects the reconstruction quality of the receiving terminal of the video.
Yueyue Dai, Xinhua Rui, Xuanyu Zhao
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International Journal of Distributed Sensor Networks, 2018 The joint reconstruction of nonsparse multi-sensors data with high quality is a challenging issue in human activity telemonitoring. In this study, we proposed a novel joint reconstruction algorithm combining distributed compressed sensing with multiple ...
Jianning Wu, Jiajing Wang, Yun Ling
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