Title :
Research on electromagnetic guided wave signal noise reduction technology based on lifting wavelet transform
Author :
Qin Lei Sun ; Ai Hua Li ; Mei Quan Liu
Author_Institution :
Shijiazhuang Mech. Eng. Coll., Shijiazhuang, China
Abstract :
When receiving electromagnetic guided wave, because of the impact of the space and the environment, the receiving signal often has a lot of noise interference signals. Article for better defect feature extraction reaction signal the lifting wavelet threshold de-noising method of receiving the electromagnetic wave guided signal noise reduction processing. Combined with the experimental analysis of the function of the mother wavelet noise reduction effect and select the optimal mother wavelet function. Simulation results show that the lifting wavelet of the threshold function for de-noising can effective reduce the noise and is an effective method.
Keywords :
electromagnetic wave propagation; feature extraction; signal processing; wavelet transforms; electromagnetic guided wave signal noise reduction technology; electromagnetic wave guided signal noise reduction processing; feature extraction reaction signal; lifting wavelet transform; noise interference signals; receiving signal; wavelet threshold denoising method; Electromagnetic scattering; Electromagnetics; Noise; Noise reduction; Wavelet analysis; Wavelet transforms; electromagnetism guided wavelet; lifting wavelet transformation; mother wavelet; threshold de-noising;
Conference_Titel :
Applied Superconductivity and Electromagnetic Devices (ASEMD), 2013 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-0068-8
DOI :
10.1109/ASEMD.2013.6780804