An Improved Wavelet Signal Denoising Method for TWT

被引：0
|
作者：
Wu, Anquan [1 ]
Shen, Changsheng [1 ]
Sun, Xiaohan [1 ]
Gong, Haihua [2 ]
Wei, Yixue [2 ]
Feng, Jinjun [2 ]
Yan, Tiechang [2 ]
机构：
[1] Southeast Univ, Res Ctr Elect Device & Syst Reliabil, Nanjing 210096, Jiangsu, Peoples R China
[2] Beijing Vacuum Elect Res Inst, Beijing 100015, Peoples R China
来源：
2015 IEEE INTERNATIONAL VACUUM ELECTRONICS CONFERENCE (IVEC) | 2015年
关键词：
TWT; signal denoising; wavelet transform; threshold method;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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.
引用
下载
收藏
页数：2
相关论文
共 50 条
  • [1] TWT Output Signal Denoising Based on Improved Wavelet Threshold
    Shen, Changsheng
    Wu, Anquan
    Bai, Ningfeng
    Fan, Hehong
    Zhao, Xingqun
    Sun, Xiaohan
    Shao, Shuwei
    Hao, Baoliang
    Wei, Yixue
    2017 EIGHTEENTH INTERNATIONAL VACUUM ELECTRONICS CONFERENCE (IVEC), 2017,
  • [2] An Improved Method of Wavelet Threshold Denoising for Satellite Signal
    Chen, Zengmao
    Wang, Shijian
    2018 EIGHTH INTERNATIONAL CONFERENCE ON INSTRUMENTATION AND MEASUREMENT, COMPUTER, COMMUNICATION AND CONTROL (IMCCC 2018), 2018, : 1774 - 1777
  • [3] Research on Improved Wavelet Denoising Method for sEMG Signal
    Li, Cong
    Cao, Dianguo
    Yua, Yaoyao
    2019 CHINESE AUTOMATION CONGRESS (CAC2019), 2019, : 5221 - 5225
  • [4] Research on signal denoising method based on improved wavelet threshold
    Li, Xinxin
    Zeng, Liansun
    PROCEEDINGS OF 2023 7TH INTERNATIONAL CONFERENCE ON ELECTRONIC INFORMATION TECHNOLOGY AND COMPUTER ENGINEERING, EITCE 2023, 2023, : 857 - 861
  • [5] Research on Signal Processing of Power with the Method of Improved Wavelet Denoising
    Ma, ChengLin
    Jiang, Tao
    Hu, JianLin
    Zhao, LiFei
    Xu, Sen
    PROCEEDINGS OF 2016 5TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND NETWORK TECHNOLOGY (ICCSNT), 2016, : 692 - 695
  • [6] Research of signal denoising method based on an improved wavelet thresholding
    Tao, Hong-Yan
    Qin, Hua-Feng
    Yu, Cheng-Bo
    Yadian Yu Shengguang/Piezoelectrics and Acoustooptics, 2008, 30 (01): : 93 - 95
  • [7] A new method of vibration signal denoising based on improved wavelet
    Miao, Feng
    Zhao, Rongzhen
    JOURNAL OF LOW FREQUENCY NOISE VIBRATION AND ACTIVE CONTROL, 2022, 41 (02) : 637 - 645
  • [8] Application of an improved wavelet threshold denoising method for vibration signal processing
    Xie, Zhijie
    Song, Baoyu
    Zhang, Yang
    Zhang, Feng
    ENGINEERING SOLUTIONS FOR MANUFACTURING PROCESSES IV, PTS 1 AND 2, 2014, 889-890 : 799 - 806
  • [9] An Improved Wavelet Threshold Denoising Method for Transformer Partial Discharge Signal
    You, F. C.
    Zhang, Y.
    GREEN POWER, MATERIALS AND MANUFACTURING TECHNOLOGY AND APPLICATIONS II, 2012, 214 : 148 - +
  • [10] Wavelet Transform and Signal Denoising using Wavelet Method
    Polat Dautov, Cigdem
    Ozerdem, Mehmet Sirac
    2018 26TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU), 2018,
12345