Bayesian Compressive Sensing Based Optimized Node Selection Scheme in Underwater Sensor Networks [PDF]
Sensors, 2018 Information acquisition in underwater sensor networks is usually limited by energy and bandwidth. Fortunately, the received signal can be represented sparsely on some basis. Therefore, a compressed sensing method can be used to collect the information by
Ruisong Wang +5 more
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Data-adaptive pattern-coupled Bayesian compressive sensing for sparse sound field reconstruction [PDF]
Scientific ReportsPattern-coupled Bayesian compressive sensing shows great potential in sound field reconstruction by leveraging structural sparsity, but its fixed coupling patterns for sparsity hyperparameters limit adaptability to non-uniform correlation distributions ...
Yue Xiao +4 more
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A Sound Source Identification Algorithm Based on Bayesian Compressive Sensing and Equivalent Source Method [PDF]
Sensors, 2020 Near-field acoustic holography (NAH) based on equivalent source method (ESM) is an effective method for identifying sound sources. Conventional ESM focuses on relatively low frequencies and cannot provide a satisfactory solution at high frequencies.
Ming Zan +3 more
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Variational Bayesian algorithm for distributed compressive sensing [PDF]
2015 IEEE International Conference on Communications (ICC), 2015 Distributed compressive sensing (DCS) concerns the reconstruction of multiple sensor signals with reduced numbers of measurements, which exploits both intra- and inter-signal correlations. In this paper, we propose a novel Bayesian DCS algorithm based on variational Bayesian inference.
Wei Chen 0016, Ian J. Wassell
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Energy constraint Bayesian compressive sensing detection algorithm [PDF]
Tongxin xuebao, 2012 To solve the shortage of nodes handling ability and limited energy in wireless sensor network,an energy constraint Bayesian compressive sensing detection algorithm was proposed.To balance the energy of the whole network and prevent network paralyzed due ...
Chun-hui ZHAO, Yun-long XU
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Anti-noise variational sparse Bayesian estimation ghost imaging based on 3Level factor graph [PDF]
Scientific ReportsIn response to existing compressed sensing ghost imaging (CSGI) schemes, an innovative Bayesian compressed sensing ghost imaging with better anti-noise performance is proposed, by using the sparse representation of K-Singular Value Decomposition (KSVD ...
Siqing Xiang +9 more
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Full-Vectorial 3D Microwave Imaging of Sparse Scatterers through a Multi-Task Bayesian Compressive Sensing Approach [PDF]
Journal of Imaging, 2019 In this paper, the full-vectorial three-dimensional (3D) microwave imaging (MI) of sparse scatterers is dealt with. Towards this end, the inverse scattering (IS) problem is formulated within the contrast source inversion (CSI) framework and it is aimed ...
Marco Salucci +2 more
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Microwave NDT/NDE Through Differential Bayesian Compressive Sensing
IEEE Open Journal of Instrumentation and MeasurementThis article deals with the nondestructive testing and evaluation (NDT/NDE) of dielectric structures through a sparseness-promoting probabilistic microwave imaging (MI) method.
Marco Salucci +5 more
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Bayesian compressive sensing for primary user detection
IET Signal Processing, 2016 In compressive sensing (CS)‐based spectrum sensing literature, most studies consider accurate reconstruction of the primary user signal rather than detection of the signal. Furthermore, possible absence of the signal is not taken into account while evaluating the spectrum sensing performance.
Başaran, Mehmet +3 more
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Leida xuebao, 2016 Nowadays, high-speed sampling and transmission is a foremost challenge of radar system. In order to solve this problem, a compressive sensing approach is proposed for radar target signals in this study.
Zhong Jinrong, Wen Gongjian
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