Wavelet packet frequency-based adaptive electrical signal denoising method and system

By using wavelet packet frequency division adaptive technology and optimizing the frequency division threshold and frequency division threshold function, the problems of noise interference and signal attenuation in electrical signal denoising are solved, and efficient and accurate electrical signal denoising is achieved.

CN117332219BActive Publication Date: 2026-05-29CHINA SOUTHERN POWER GRID COMPANY
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Patents(China)
Current Assignee / Owner
CHINA SOUTHERN POWER GRID COMPANY
Filing Date
2023-08-31
Publication Date
2026-05-29

AI Technical Summary

Technical Problem

In existing electrical signal denoising techniques, phase delay and useful signal attenuation caused by filters, as well as noise interference feature confusion caused by unreasonable threshold selection in wavelet packet denoising, affect detection accuracy.

Method used

An adaptive wavelet packet frequency division technique is introduced. By optimizing the frequency division threshold and the frequency division threshold function, the energy ratio of the penultimate layer node coefficients is used to optimize the last layer node coefficients, thereby constructing an adaptive frequency division threshold function, optimizing the threshold setting, retaining the effective signal, and filtering noise interference.

Benefits of technology

It improves the accuracy and reliability of electrical signal noise reduction, effectively removes noise, preserves the high-frequency characteristics of the signal, and achieves high-quality noise reduction effect.

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Abstract

The application discloses a kind of electrical signal noise reduction method and system based on wavelet packet frequency division adaptation, the method is carried out wavelet packet decomposition to electrical signal and obtains wavelet packet tree, and the node coefficient of last two layers is evenly divided into 2 i section according to frequency;Then the energy ratio coefficient between two layers is calculated with the node coefficient energy of last two layers;Further, the node coefficient frequency division threshold value corresponding to each node of last layer is adjusted using the energy ratio coefficient corresponding to each node, and then the noise reduction processing is carried out through frequency division threshold function to obtain the node coefficient after noise reduction of each frequency band of last layer, and finally the electrical signal after noise reduction is reconstructed. Among them, the application sets more reasonable and accurate threshold and frequency division threshold function in the field of electrical signal noise reduction, can effectively remove the noise in electrical signal, improve the noise reduction effect, and the method is simple and reliable.
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