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A signal denoising method based on goose optimization algorithm for optimal variational modal decomposition and improved wavelet thresholding function
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DOI：10.1063/5.0252648.png)
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Ultrasonic flowmeters are widely used in energy and control applications, providing accurate and fast measurement of fluid flow rates. This paper proposes a denoising method based on the goose optimization algorithm, a nature-inspired optimization method mimicking the foraging behavior of goose. GO optimizes the penalty factor and decomposition layer number of variational modal decomposition, resulting in the GO-VMD approach. Decomposed modal components are further denoised using an improved wavelet thresholding method. The algorithm is compared with existing methods, such as high-frequency ultrasonic signal processing, and experimental results show that it improves the signal-to-noise ratio by 8%, reduces root mean square error by 5%, retains more useful information, and achieves significant denoising results.
Keyword:
FEATURE-EXTRACTION
SAMPLE ENTROPY
APPROXIMATE
EMD
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IF:
4.3
论文数:
2.9W
被引数:
8.0W
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