Sparse Aperture InISAR Imaging via Sequential Multiple Sparse Bayesian Learning [PDF]
Sensors, 2017 Interferometric inverse synthetic aperture radar (InISAR) imaging for sparse-aperture (SA) data is still a challenge, because the similarity and matched degree between ISAR images from different channels are destroyed by the SA data.
Shuanghui Zhang, Yongxiang Liu, Xiang Li
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Sparse bayesian learning for genomic selection in yeast [PDF]
Frontiers in Bioinformatics, 2022 Genomic selection, which predicts phenotypes such as yield and drought resistance in crops from high-density markers positioned throughout the genome of the varieties, is moving towards machine learning techniques to make predictions on complex traits ...
Maryam Ayat, Mike Domaratzki
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Compression Reconstruction and Fault Diagnosis of Diesel Engine Vibration Signal Based on Optimizing Block Sparse Bayesian Learning [PDF]
Sensors, 2022 It is critical to deploy wireless data transmission technologies remotely, in real-time, to monitor the health state of diesel engines dynamically. The usual approach to data compression is to collect data first, then compress it; however, we cannot ...
Huajun Bai +3 more
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A Fast Space-Time Adaptive Processing Algorithm Based on Sparse Bayesian Learning for Airborne Radar [PDF]
Sensors, 2022 Space-time adaptive processing (STAP) plays an essential role in clutter suppression and moving target detection in airborne radar systems. The main difficulty is that independent and identically distributed (i.i.d) training samples may not be sufficient
Cheng Liu +3 more
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Velocity Estimation of Passive Target Based on Sparse Bayesian Learning Cross-Spectrum. [PDF]
Sensors (Basel)Li X, Liang G, Shen T, Luo Z.
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Sparse Bayesian Learning for DOA Estimation with Mutual Coupling [PDF]
Sensors, 2015 Sparse Bayesian learning (SBL) has given renewed interest to the problem of direction-of-arrival (DOA) estimation. It is generally assumed that the measurement matrix in SBL is precisely known.
Jisheng Dai +3 more
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Off-Grid Sparse Bayesian Learning for Channel Estimation and Localization in RIS-Assisted MIMO-OFDM Under NLoS. [PDF]
Sensors (Basel)Mutlu U, Kabalci Y.
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Sparse Bayesian learning using hierarchical synthesis prior for STAP [PDF]
IET Radar, Sonar & NavigationSpace–time adaptive processing (STAP) can effectively detect moving targets in the background of ground clutter, but the performance will drop sharply when the training samples are limited.
Junxiang Cao, Tong Wang, Weichen Cui
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Underwater Acoustic Channel Estimation Based on Sparse Bayesian Learning Algorithm
IEEE Access, 2023 The channel estimation algorithm based on sparse Bayesian learning proposed in recent years shows better performance than the traditional channel estimation algorithm by effectively reducing the convergence error in the channel estimation process ...
Shuyang Jia +3 more
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A Fast and Robust Non-Sparse Signal Recovery Algorithm for Wearable ECG Telemonitoring Using ADMM-Based Block Sparse Bayesian Learning. [PDF]
Sensors (Basel), 2018 Cheng Y +5 more
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