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An artificial bee colony optimization based matching pursuit approach for ultrasonic echo estimation

Qi, A, Zhang, G, Dong, M, Ma, H-W and Harvey, D (2018) An artificial bee colony optimization based matching pursuit approach for ultrasonic echo estimation. Ultrasonics, 88. ISSN 0041-624X

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Abstract

Ultrasonic echo estimation is important in ultrasonic non-destructive evaluation and material characterization. Matching pursuit is one of the most popular methods for the purpose of estimating ultrasonic echoes. In this paper, an artificial bee colony optimization based matching pursuit approach (ABC-MP) is proposed specifically for ultrasonic signal decomposition by integrating the artificial bee colony algorithm into the matching pursuit method. The optimal atoms are searched from a continuous parameter space over a tailored Gabor dictionary in ABC-MP instead of a discrete parameter space in matching pursuit. As a result, echoes characterized by a set of physical parameters can be estimated accurately and efficiently. The performance of ABC-MP is tested using both simulated signals and real ultrasonic signals, and compared with matching pursuit. Results clearly demonstrate the superior performance of the proposed ABC-MP approach over matching pursuit in ultrasonic echo estimation in terms of the shape and amplitude of the recovered echoes and the reconstructed signal, and the residue signal.

Item Type: Article
Uncontrolled Keywords: 0203 Classical Physics, 0913 Mechanical Engineering, 0912 Materials Engineering
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
T Technology > TD Environmental technology. Sanitary engineering
Divisions: General Engineering Research Institute
Publisher: Elsevier
Date Deposited: 06 Mar 2018 10:20
Last Modified: 15 Sep 2018 04:28
URI: http://researchonline.ljmu.ac.uk/id/eprint/8188

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