Space alternating variational estimation based sparse Bayesian learning for complex‐value sparse signal recovery using adaptive Laplace priors-Reference-Cited by-同舟云学术

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Space alternating variational estimation based sparse Bayesian learning for complex‐value sparse signal recovery using adaptive Laplace priors

Published:2022-12-13 Issue:3 Volume:17 Page:
ISSN:1751-9675
Container-title:IET Signal Processing
language:en
Short-container-title:IET Signal Processing

Author:

Bai Zonglong¹²³^ORCID,Shi Liming⁴⁵,Sun Jinwei³,Christensen Mads Græsbøll⁵^ORCID

Affiliation:

1. Department of Electronic and Communication Engineering North China Electric Power University Baoding Hebei China

2. Hebei Key Laboratory of Power Internet of Things Technology North China Electric Power University Baoding China

3. School of Instrument Science and Engineering Harbin Institute of Technology Harbin China

4. Department of Communication and Information Engineering Chongqing University of Posts and Telecommunications Chongqing China

5. CREATE Aalborg University Aalborg China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Signal Processing

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/sil2.12179

Reference52 articles.

1. Developing multi-component dictionary-based sparse representation for automatic detection of epileptic EEG spikes

2. Robust Multichannel EEG Signal Reconstruction Method

3. Trainable ISTA for Sparse Signal Recovery

4. SSR2: Sparse signal recovery for single-image super-resolution on faces with extreme low resolutions

5. Time Sequence Learning for Electrical Impedance Tomography Using Bayesian Spatiotemporal Priors

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