Results 51 to 60 of about 3,975 (201)

Tree-Based Backtracking Orthogonal Matching Pursuit for Sparse Signal Reconstruction

open access: yesJournal of Applied Mathematics, 2013
Compressed sensing (CS) is a theory which exploits the sparsity characteristic of the original signal in signal sampling and coding. By solving an optimization problem, the original sparse signal can be reconstructed accurately. In this paper, a new Tree-
Yigang Cen   +6 more
doaj   +1 more source

Direction of Arrival Estimation by Matching Pursuit Algorithm With Subspace Information

open access: yesIEEE Access, 2021
Traditional orthogonal matching pursuit (OMP) algorithms for direction of arrival (DOA) estimation suffer from poor angular resolution and noise suppression. In this paper, we analyze the reason why the OMP algorithm has difficulties in resolving closely
Yang Zhao   +3 more
doaj   +1 more source

Frequency-Hopping Signal Parameters Estimation Based on Orthogonal Matching Pursuit and Sparse Linear Regression

open access: yesIEEE Access, 2018
This paper addresses the problem of estimating frequency hopping (FH) signals parameters with the single array. The existing optimization algorithms are with unrealistic computational burden.
Yu Wang, Chaozhu Zhang, Fulong Jing
doaj   +1 more source

Mobile robot visual image hierarchical matching algorithm based on deep reinforcement learning and orthogonal matching pursuit

open access: yesJournal of Applied Science and Engineering
Traditional mobile robot visual image hierarchical matching algorithms can only complete rough matching, which leads to low matching accuracy and long matching time.
Chuanlei Dai, Yuqian Liu, Zhiwei Shi
doaj   +1 more source

Compressive sensing-based super-resolution DOA estimation for mechanical scanning radar

open access: yesThe Journal of Engineering, 2019
This study presents a novel super-resolution directions of arrival (DOA) estimation method for mechanical scanning radar by using the advanced compressive sensing algorithm.
Fanglei Cheng, Hongyu Wang, Yang Li
doaj   +1 more source

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