Application and Optimization of Wavelet Threshold Denoising Algorithm in Signal Processing
- https://doi.org/10.2991/ahis.k.220601.037How to use a DOI?
- Wavelet transform; Threshold function; signal processing
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.
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Cite this article
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 - https://doi.org/10.2991/ahis.k.220601.037 ID - kong2022 ER -