Results 1 to 10 of about 17,602 (258)
Journal of Marine Science and Engineering, 2021 Direction-of-arrival (DOA) estimation in a spatially isotropic white noise background has been widely researched for decades. However, in practice, such as underwater acoustic ambient noise in shallow water, the ambient noise can be spatially colored ...
Guolong Liang +4 more
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Correlated Sparse Bayesian Learning for Recovery of Block Sparse Signals With Unknown Borders
IEEE Open Journal of Signal ProcessingWe consider the problem of recovering complex-valued block sparse signals with unknown borders. Such signals arise naturally in numerous applications. Several algorithms have been developed to solve the problem of unknown block partitions.
Didem Dogan, Geert Leus
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Detection and Estimation of Gas Sources With Arbitrary Locations Based on Poisson's Equation
IEEE Open Journal of Signal ProcessingAccurate estimation of the number and locations of dispersed material sources is critical for optimal disaster response in Chemical, Biological, Radiological, or Nuclear accidents.
Dmitriy Shutin +2 more
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Seismic Signal Compression Using Nonparametric Bayesian Dictionary Learning via Clustering
Algorithms, 2017 We introduce a seismic signal compression method based on nonparametric Bayesian dictionary learning method via clustering. The seismic data is compressed patch by patch, and the dictionary is learned online.
Xin Tian, Song Li
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Leida xuebao, 2018 A novel sparse Bayesian learning approach with a joint sparsity model is proposed for Interferometric Synthetic Aperture Radar (InSAR) image formation to realize the feature enhancements of interferometric phase denoising and speckle reduction.
Hou Yuxing, Xu Gang
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Fast Variational Bayesian Inference for Space-Time Adaptive Processing
Remote Sensing, 2023 Space-time adaptive processing (STAP) approaches based on sparse Bayesian learning (SBL) have attracted much attention for the benefit of reducing the training samples requirement and accurately recovering sparse signals. However, it has the problem of a
Xinying Zhang, Tong Wang, Degen Wang
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Non-Line-of-Sight Imaging via Sparse Bayesian Learning Deconvolution
PhotonicsBy enhancing transient fidelity before geometric inversion, this work revisits the classical LCT-based non line-of-sight (NLOS)imaging paradigm and establishes a unified Bayesian sparse-enhancement framework for reconstructing hidden objects under photon-
Yuyuan Tian +7 more
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Super-Resolution Ultrasound Imaging by Sparse Bayesian Learning Method
IEEE Access, 2019 Super-resolution ultrasound (SR-US) imaging technique overcomes the acoustic diffraction limit and greatly improves the spatial resolution. Furthermore, by exploiting temporal fluctuations in microbubbles, a super-resolution fluctuation imaging (SOFI ...
Ying Liu +5 more
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Frequency-difference sparse Bayesian learning for unambiguous direction-of-arrival estimation [PDF]
JASA Express LettersThe frequency-difference (FD) method uses the FD Hadamard product, comprising auto-products to model below-band acoustic fields and unintended cross-products, for efficient direction-of-arrival (DOA) estimation under spatial aliasing.
Ze Yuan +3 more
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Complex Multisnapshot Sparse Bayesian Learning for Offgrid DOA Estimation
International Journal of Antennas and Propagation, 2022 Direction of arrival (DOA) estimation has recently been developed based on sparse signal reconstruction (SSR). Sparse Bayesian learning (SBL) is a typical method of SSR.
Qinghua Liu +3 more
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