Paper
6 April 2023 A useful method of signal de-noising
Yang Gao, Weiting Gao, Na Lv, Su Zhen Wang
Author Affiliations +
Proceedings Volume 12615, International Conference on Signal Processing and Communication Technology (SPCT 2022); 126150H (2023) https://doi.org/10.1117/12.2673905
Event: International Conference on Signal Processing and Communication Technology (SPCT 2022), 2022, Harbin, China
Abstract
Signal de-noising process is the process of signal characteristic components extraction. In view of the singular value decomposition de-noising method is difficult to separate under low SNR, through observing the singular value distribution under different decomposition order, select the appropriate number of decomposition, and combining the wavelet packet de-noising ability and good frequency resolution, put forward a kind of effective signal de-noising method. Firstly, based on different SNR to choose the appropriate number of singular value decomposition, select bigger singular value reconstructing the signal, preliminary to remove noise, and then make three layer wavelet packet decomposition, compare the energy distribution of all nodes, and make selection of energy concentration of several nodes, reconstruct the signal. Simulation results verify the validity of this method.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yang Gao, Weiting Gao, Na Lv, and Su Zhen Wang "A useful method of signal de-noising", Proc. SPIE 12615, International Conference on Signal Processing and Communication Technology (SPCT 2022), 126150H (6 April 2023); https://doi.org/10.1117/12.2673905
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Singular value decomposition

Signal to noise ratio

Interference (communication)

Wavelets

Wavelet packet decomposition

Denoising

Signal processing

RELATED CONTENT


Back to Top