Reconstruction of Finite-Alphabet Block-Sparse Signals From MAP Support Detection

Reconstruction of Finite-Alphabet Block-Sparse Signals From MAP Support Detection

This paper addresses finite-alphabet block-sparse signal recovery by considering support detection and data estimation separately. To this aim, we propose a maximum a posteriori (MAP) support detection criterion that takes into account the finite alphabet of the signal as a constraint. We then incor...

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Bibliographic Details
Main Authors: Malek Messai, Karine Amis, Frederic Guilloud, Abdeldjalil Aissa-El-Bey
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Compressed sensing
finite alphabet
support detection
orthogonal matching pursuit
Gaussian mixture distribution
Online Access:https://ieeexplore.ieee.org/document/8703721/

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