• DocumentCode
    1891864
  • Title

    Research of an improved adaptive filtering algorithm in digital communication

  • Author

    Xiaoming, Zhao ; Wenping, Guo ; Ying, Chen

  • Author_Institution
    Dept. of Comput., Taizhou Univ., Taizhou
  • fYear
    2008
  • fDate
    10-12 Nov. 2008
  • Firstpage
    470
  • Lastpage
    473
  • Abstract
    Adaptive signal processing, an important branch in the Signal and Information Processing field, is widely used in the signal processing in digital communication owning to its superiority. While this paper point out the defect of this algorithm on the basis of the adaptive local noise elimination filtering algorithm introduced by American Professor Rafael C. Gonzalez and put forward a new improved adaptive filtering algorithm which has reduced the mean square error by one-fourth, and raised various signal-to-noise ratios SNR, SNRm and PSNR by one-tenth. So it is more effective in eliminating local noise and enjoys higher promotion value.
  • Keywords
    adaptive filters; adaptive signal processing; digital communication; mean square error methods; adaptive filtering algorithm; adaptive local noise elimination; adaptive signal processing; digital communication; mean square error; Adaptive filters; Adaptive signal processing; Digital communication; Digital signal processing; Filtering algorithms; Information processing; PSNR; Signal processing; Signal processing algorithms; Signal to noise ratio; adaptive; digital communication; filter; local noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Technology, 2008. ICCT 2008. 11th IEEE International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4244-2250-0
  • Electronic_ISBN
    978-1-4244-2251-7
  • Type

    conf

  • DOI
    10.1109/ICCT.2008.4716295
  • Filename
    4716295