• DocumentCode
    1642270
  • Title

    M-band wavelet de-noising based on nonparametric adaptive estimation

  • Author

    Li, Li ; Yuhua, Peng ; Peijun, Xue

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Shandong Univ., Jinan, China
  • Volume
    1
  • fYear
    2005
  • Firstpage
    788
  • Abstract
    In this paper, we propose a new de-noising method based on m-band wavelet theory and nonparametric adaptive estimation method presented by Birge-Massart. The experiment results are compared with 2-band wavelet de-noising method based on nonparametric adaptive estimation and better characteristics are represented by the proposed method.
  • Keywords
    adaptive estimation; signal denoising; wavelet transforms; Birge-Massart method; m-band wavelet denoising; nonparametric adaptive estimation method; wavelet theory; Adaptive estimation; Adaptive filters; Band pass filters; Bandwidth; Filter bank; Filtering theory; Frequency; Low pass filters; Noise reduction; Wavelet analysis; Adaptive Estimation; M-band Wavelet; Nonparametric; Signal De-noising;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications, 2005. MAPE 2005. IEEE International Symposium on
  • Print_ISBN
    0-7803-9128-4
  • Type

    conf

  • DOI
    10.1109/MAPE.2005.1618028
  • Filename
    1618028
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1642270