Title :
An improved wavelet signal denoising method for TWT
Author :
Anquan Wu ; Changsheng Shen ; Xiaohan Sun ; Haihua Gong ; Yixue Wei ; Jinjun Feng ; Tiechang Yan
Author_Institution :
Res. Center for Electron. Device & Syst. Reliability, Southeast Univ., Nanjing, China
Abstract :
An improved wavelet method is presented for TWT signal denoising, in which linear-hard and nonlinear-soft threshold regions are defined and given. In MATLAB simulation, Doppler signal affected by 7 dB of additive-white Gaussian noise is analyzed and denoised. The results show that signal to noise ratio is 24.2362 and root mean square error is 0.4356, and the improved method is better than the conventional methods.
Keywords :
AWGN; mean square error methods; signal denoising; travelling wave tubes; wavelet transforms; Doppler signal; MATLAB simulation; TWT; additive-white Gaussian noise; improved wavelet signal denoising method; linear-hard threshold region; nonlinear-soft threshold region; root mean square error; Noise measurement; Noise reduction; Signal to noise ratio; Tin; TWT; signal denoising; threshold method; wavelet transform;
Conference_Titel :
Vacuum Electronics Conference (IVEC), 2015 IEEE International
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-7109-1
DOI :
10.1109/IVEC.2015.7224046
