Results 21 to 30 of about 17,602 (258)

Bayesian Learning-Based Clustered-Sparse Channel Estimation for Time-Varying Underwater Acoustic OFDM Communication

Sensors, 2021
Orthogonal frequency division multiplexing (OFDM) has been widely adopted in underwater acoustic (UWA) communication due to its good anti-multipath performance and high spectral efficiency.
Shuaijun Wang, Mingliu Liu, Deshi Li
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Application of Intelligent Signal Reflection in the Communication Model of an Electronic Controller

Journal of Robotics, 2022
This paper analyses the automatic control effect of an electronic controller, combined with artificial intelligence technology in order to improve the automatic control of an electronic controller.
Lan Lan
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Physics-constrained bayesian neural network for fluid flow reconstruction with sparse and noisy data

Theoretical and Applied Mechanics Letters, 2020
: In many applications, flow measurements are usually sparse and possibly noisy. The reconstruction of a high-resolution flow field from limited and imperfect flow information is significant yet challenging. In this work, we propose an innovative physics-
Luning Sun, Jian-Xun Wang
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Compressive Sensing via Variational Bayesian Inference under Two Widely Used Priors: Modeling, Comparison and Discussion

Entropy, 2023
Compressive sensing is a sub-Nyquist sampling technique for efficient signal acquisition and reconstruction of sparse or compressible signals. In order to account for the sparsity of the underlying signal of interest, it is common to use sparsifying ...
Mohammad Shekaramiz, Todd K. Moon
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An Improved Iterative Reweighted STAP Algorithm for Airborne Radar

Remote Sensing, 2022
In recent years, sparse recovery-based space-time adaptive processing (SR-STAP) technique has exhibited excellent performance with insufficient samples.
Weichen Cui, Tong Wang, Degen Wang, Cheng Liu   +3 more
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Joint Estimation for DOA and Polarization Parameters in Sparse Bayesian Framework [PDF]

Hangkong bingqi, 2021
Aiming at the problems of low precision and high computational complexity in estimating coherent signals by traditional polarization sensitive array, a joint parameter estimation algorithm based on sparse Bayesian learning framework for direction of ...
Xu Haifeng
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A Robust Sparse Bayesian Learning-Based DOA Estimation Method With Phase Calibration

IEEE Access, 2020
Usually, the array manifolds are assumed to be known perfectly in the radar systems, but the imprecise knowledge substantially degrades the performance of estimating the direction of arrival (DOA).
Zhimin Chen, Wanxing Ma, Peng Chen, Zhenxin Cao   +3 more
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ISAR Imaging Algorithm for Parameter Iterative Minimization Sparse Signal Recovery [PDF]

Jisuanji gongcheng, 2018
In order to obtain the robustness Inverse Synthetic Aperture Radar(ISAR) image,an iterative minimization Bayesian learning sparse signal recovery algorithm is proposed.Firstly,ISAR imaging is established,and the imaging problem is converted to sparse ...
FENG Junjie,ZHANG Gong
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Variational Bayesian Learning for Decentralized Blind Deconvolution of Seismic Signals Over Sensor Networks

IEEE Access, 2021
This work discusses a variational Bayesian learning approach towards decentralized blind deconvolution of seismic signals within a sensor network. Blind seismic deconvolution is cast into a probabilistic framework based on Sparse Bayesian learning ...
Dmitriy Shutin, Ban-Sok Shin
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Low-Rank and Sparse Matrix Recovery for Hyperspectral Image Reconstruction Using Bayesian Learning

Sensors, 2022
In order to reduce the amount of hyperspectral imaging (HSI) data transmission required through hyperspectral remote sensing (HRS), we propose a structured low-rank and joint-sparse (L&S) data compression and reconstruction method.
Yanbin Zhang, Long-Ting Huang, Yangqing Li, Kai Zhang, Changchuan Yin   +4 more
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