Modified complex multitask Bayesian compressive sensing using Laplacian scale mixture prior

Modified complex multitask Bayesian compressive sensing using Laplacian scale mixture prior

Abstract Bayesian compressive sensing (BCS) is an important sub‐class of sparse signal reconstruction algorithms. In this paper, a modified complex multitask Bayesian compressive sensing (MCMBCS) algorithm using the Laplacian scale mixture (LSM) prior is proposed. The LSM prior is first introduced i...

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Bibliographic Details
Main Authors: Qilei Zhang, Lei Yu, Feng He, Yifei Ji
Format: Article
Language:English
Published: Hindawi-IET 2022-07-01
Series:IET Signal Processing
Subjects:
Bayes methods
compressed sensing
signal reconstruction
Online Access:https://doi.org/10.1049/sil2.12134

Internet

https://doi.org/10.1049/sil2.12134

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