Dynamic Orthogonal Matching Pursuit for Sparse Data Reconstruction

The orthogonal matching pursuit (OMP) is one of the mainstream algorithms for sparse data reconstruction or approximation. It acts as a driving force for the development of several other greedy methods for sparse data reconstruction, and it also plays a vital role in the development of compressed se...

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Bibliographic Details

Published in:	IEEE Open Journal of Signal Processing
Main Authors:	Yun-Bin Zhao, Zhi-Quan Luo
Format:	Article
Language:	English
Published:	IEEE 2023-01-01
Subjects:	Data reconstruction dynamic orthogonal matching pursuit error bound orthogonal matching pursuit restricted isometry property sparse optimization
Online Access:	https://ieeexplore.ieee.org/document/10089380/