A Fast and Noise-Robust Algorithm for Joint Sparse Recovery Through Information Transfer

In multiple measurement vector (MMV) problems, L measurement vectors each of which has length M are available for recovering jointly sparse signals that have a common support set of size K. In this paper, a fast and noise-robust greedy algorithm is proposed for joint sparse recovery in MMV problems,...

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Bibliographic Details
Main Author: Nam Yul Yu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8669873/