Pulse signal noise reduction method, device, electronic equipment and storage medium

By decomposing and adaptively selecting the pulse signal, high-frequency noise and low-frequency noise are removed respectively, which solves the problem of difficulty in effectively filtering out the pulse signal noise in the existing technology and achieves the retention of signal characteristics and effective removal of noise.

CN114492528BActive Publication Date: 2025-09-23AGRICULTURAL BANK OF CHINA
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Patent Information

Application Number
CN202210101392.5
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2022-01-27
Publication Date
2025-09-23
Estimated Expiration
2042-01-27

AI Technical Summary

Technical Problem

It is difficult to effectively filter out high-frequency noise and low-frequency noise in pulse signals with existing technologies, and the characteristics of the signal itself may be damaged during the noise reduction process.

Method used

The pulse signal is decomposed to obtain multiple frequency components, and adaptive selection is performed based on the frequency of each frequency component to remove the high-frequency noise of the low-frequency signal and the low-frequency noise of the high-frequency signal respectively. Finally, reconstruction is performed to obtain the denoised pulse signal.

Benefits of technology

It effectively filters out high-frequency and low-frequency noise in the pulse signal, retains the characteristic information of the signal to the maximum extent, and improves the signal-to-noise ratio and signal recognition accuracy.

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Abstract

The present invention discloses a pulse signal denoising method, device, electronic device, and storage medium. The method comprises: decomposing a pulse signal to obtain multiple frequency components and the frequencies of each frequency component; adaptively selecting each frequency component based on the frequencies of each frequency component to determine a low-frequency signal and a high-frequency signal; removing the high-frequency noise from the low-frequency signal and the low-frequency noise from the high-frequency signal, respectively, to obtain a denoised low-frequency signal and a denoised high-frequency signal; and reconstructing the denoised low-frequency signal and the denoised high-frequency signal to obtain a denoised pulse signal. This method can effectively filter out high-frequency and low-frequency noise from a pulse signal.
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