• DocumentCode
    1866028
  • 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
  • fYear
    2015
  • fDate
    27-29 April 2015
  • Firstpage
    1
  • Lastpage
    2
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vacuum Electronics Conference (IVEC), 2015 IEEE International
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4799-7109-1
  • Type

    conf

  • DOI
    10.1109/IVEC.2015.7224046
  • Filename
    7224046