An AMP-Based Low Complexity Generalized Sparse Bayesian Learning Algorithm

An AMP-Based Low Complexity Generalized Sparse Bayesian Learning Algorithm

In this paper, an approximate message passing-based generalized sparse Bayesian learning (AMP-Gr-SBL) algorithm is proposed to reduce the computation complexity of the Gr-SBL algorithm, meanwhile improving the robustness of the GAMP algorithm against the measurement matrix deviated from the independ...

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Bibliographic Details
Main Authors: Jiang Zhu, Lin Han, Xiangming Meng
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Sparse Bayesian learning
generalized linear model
extrinsic information
approximate message passing
expectation propagation
Online Access:https://ieeexplore.ieee.org/document/8594658/

Internet

https://ieeexplore.ieee.org/document/8594658/

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