JOURNAL ARTICLE

Ultrasonic Signal Denoising Based on a New Wavelet Thresholding Function

Abstract

In the ultrasonic nondestructive testing, the echo signal is polluted by noise and the signal-to-noise ratio is low. To solve the problem, a new wavelet thresholding function is introduced in this paper based on soft and hard thresholding functions. Compared with the existing improved thresholding functions, the new thresholding function is simple in computation and continuous and easy to adjust, it is suitable for some kinds of mathematical disposals. The simulation results show that the new thresholding function can suppress the noise effectively, it is better than soft and hard thresholding functions and the existing improved thresholding functions and has high practical value.

Keywords:
Thresholding Balanced histogram thresholding Wavelet Noise reduction SIGNAL (programming language) Noise (video) Artificial intelligence Computer science Ultrasonic sensor Pattern recognition (psychology) Function (biology) Computer vision Mathematics Acoustics Image processing Image (mathematics) Physics

Metrics

4
Cited By
0.29
FWCI (Field Weighted Citation Impact)
10
Refs
0.56
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Image and Signal Denoising Methods
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Underwater Acoustics Research
Physical Sciences →  Earth and Planetary Sciences →  Oceanography
Ultrasonics and Acoustic Wave Propagation
Physical Sciences →  Engineering →  Mechanics of Materials
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