2012
DOI: 10.1016/j.aasri.2012.11.008
|View full text |Cite
|
Sign up to set email alerts
|

Guided Wave NDT Signal Recognition with Orthogonal Matching Pursuit Based on Modified Evolutionary Programming

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2021
2021
2022
2022

Publication Types

Select...
1
1

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(1 citation statement)
references
References 6 publications
0
1
0
Order By: Relevance
“…ω c is the excitation central frequency. Many optimization algorithms can be applied to determine the parameter set, such as the genetic algorithm (GA) [27] and the artificial bee colony algorithm [28]. The GA is employed in this paper to obtain the global optimal solution in a continuous parameter space.…”
Section: Signal Decompositionmentioning
confidence: 99%
“…ω c is the excitation central frequency. Many optimization algorithms can be applied to determine the parameter set, such as the genetic algorithm (GA) [27] and the artificial bee colony algorithm [28]. The GA is employed in this paper to obtain the global optimal solution in a continuous parameter space.…”
Section: Signal Decompositionmentioning
confidence: 99%