Application and Optimization of Wavelet Threshold Denoising Algorithm in Signal Processing

DOI

10.2991/ahis.k.220601.037How to use a DOI?

Keywords

Wavelet transform; Threshold function; signal processing

Abstract

Wavelet threshold method filters the signal by eliminating the singular value of data in advance. Based on the conventional hard threshold and soft threshold method, a new threshold function is proposed. The function has better mathematical characteristics and clear physical significance. It can accurately eliminate the noise in the signal and effectively extract the main part and details of the signal. Through the simulation experiment, It is proved that the function can better solve the problems of data singular value and system random error in signal processing, improve the accuracy and efficiency of data processing, is a more effective signal denoising method, and has broad engineering application value in the field of signal processing.

Copyright

© 2022 The Authors. Published by Atlantis Press International B.V.

Open Access

This is an open access article distributed under the CC BY-NC 4.0 license.

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TY  - CONF
AU  - Zhen kong
AU  - Shuo kong
PY  - 2022
DA  - 2022/06/02
TI  - Application and Optimization of Wavelet Threshold Denoising Algorithm in Signal Processing
BT  - Proceedings of the 2021 International conference on Smart Technologies and Systems for Internet of Things (STS-IOT 2021)
PB  - Atlantis Press
SP  - 191
EP  - 195
SN  - 2589-4919
UR  - https://doi.org/10.2991/ahis.k.220601.037
DO  - 10.2991/ahis.k.220601.037
ID  - kong2022
ER  -