• DocumentCode
    3082324
  • Title

    A Simulation Research on Combined Denoising Algorithm Based on Adaptive Line Enhancement

  • Author

    Yongjun, Li ; Liyuan, Ma ; Tianhui, Wang ; Yonggang, Duan

  • Author_Institution
    Mech. Eng. Coll., Shijiazhuang, China
  • fYear
    2010
  • fDate
    17-19 Sept. 2010
  • Firstpage
    723
  • Lastpage
    726
  • Abstract
    Aim at the inadequate of traditional adaptive line enhancement algorithm, a new LMS algorithm with output feedback is put forward in this paper. The new filter output is constituted by the current output and the past output, then constitute a new filter. The simulation result shows that the new algorithm is better than the original algorithm in time domain waveforms, and the performance of the noise reduction is verified.
  • Keywords
    adaptive filters; least mean squares methods; signal denoising; LMS algorithm; adaptive filtering; adaptive line enhancement; denoising algorithm; noise reduction; Adaptive filters; Filtering algorithms; Filtering theory; Least squares approximation; Noise; Signal processing algorithms; Time domain analysis; adaptive filtering; adaptive line enhancement; denoising; fix step LMS;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pervasive Computing Signal Processing and Applications (PCSPA), 2010 First International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4244-8043-2
  • Electronic_ISBN
    978-0-7695-4180-8
  • Type

    conf

  • DOI
    10.1109/PCSPA.2010.180
  • Filename
    5635600