Ultrasonic signal feature acquisition method based on improved sparse decomposition

A sparse decomposition and acquisition method technology, applied in the field of ultrasonic signal feature acquisition based on improved sparse decomposition, can solve problems such as signal aliasing, noise interference, and unsatisfactory signal processing effects, and achieve a wide range of applications and strong practicability

Active Publication Date: 2018-08-17
NORTHEAST DIANLI UNIVERSITY
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Problems solved by technology

[0004] The ultrasonic signal is a sudden change signal, which is nonlinear and non-stationary, and is often accompanied by signal aliasing and noise interference, making it difficult to accurately obtain signal characteristics
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  • Ultrasonic signal feature acquisition method based on improved sparse decomposition
  • Ultrasonic signal feature acquisition method based on improved sparse decomposition
  • Ultrasonic signal feature acquisition method based on improved sparse decomposition

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Embodiment Construction

[0024] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0025] Before introducing the technical solution of the present invention, some technologies involved in the present invention are first explained:

[0026] The Imperialist Competitive Algorithm (ICA) is a swarm intelligence optimization algorithm based on the imperialist colonial competition mechanism. It was proposed by Atashpaz-Gargari and Lucas in 2007. This method has a good effect on the efficiency and quality of continuous function optimization, and has...

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Abstract

The invention discloses an ultrasonic signal feature acquisition method based on improved sparse decomposition, and relates to the technical field of signal processing. The evolutionary idea of whaleoptimization is combined in the empire competition algorithm for aiming at the problem of sparse decomposition of the ultrasonic detection signal, and the algorithm is improved by reference to chaoticthinking and entropy analysis and other theories to form a new improved empire competition algorithm, and the new improved empire competition algorithm is combined with the matching tracking class sparse decomposition method to perform deep analysis and feature extraction of the ultrasonic signal. The method is wide in range of application and high in practicality and has important meaning for the research and application field of nondestructive detection, vibration analysis, seismic waves and medical signals so as to provide the effective way for further enhancement of the industrial production efficiency.

Description

technical field [0001] The invention relates to the technical field of signal processing, in particular to an ultrasonic signal feature acquisition method based on improved sparse decomposition. Background technique [0002] Non-destructive testing refers to the technical means of measuring the specified characteristic information of the object by using sound, light, magnetism, electricity and other characteristics on the premise of not damaging or affecting the performance of the object under test, so as to determine the technical state of the object. Non-destructive testing technology represented by ultrasonic testing has become an indispensable tool for national industrial development, and occupies an important position in the industrial fields of the United States, Germany and other countries. In recent years, the planning of major national scientific research projects shows that the Chinese government is paying more and more attention to non-destructive testing technolo...

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Application Information

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IPC IPC(8): G06K9/00G06N3/00
CPCG06N3/006G06F2218/08
Inventor 李霞孙灵芳李静朴亨冯国亮纪慧超徐源
Owner NORTHEAST DIANLI UNIVERSITY
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