• DocumentCode
    1538309
  • Title

    A new method for varying adaptive bandwidth selection

  • Author

    Katkovnik, Vladimir

  • Author_Institution
    Dept. of Stat., South Africa Univ., Pretoria, South Africa
  • Volume
    47
  • Issue
    9
  • fYear
    1999
  • fDate
    9/1/1999 12:00:00 AM
  • Firstpage
    2567
  • Lastpage
    2571
  • Abstract
    A novel approach is developed to solve a problem of varying bandwidth selection for filtering a signal given with an additive noise. The approach is based on the intersection of confidence intervals (ICI) rule and gives the algorithm, which is simple to implement and adaptive to unknown smoothness of the signal
  • Keywords
    adaptive filters; adaptive signal processing; noise; polynomial approximation; smoothing methods; additive noise; algorithm; intersection of confidence intervals; local polynomial approximation; piecewise smooth curves; signal filtering; varying adaptive bandwidth selection; Adaptive filters; Additive noise; Africa; Bandwidth; Estimation error; Filtering; Gaussian noise; Polynomials; Signal processing algorithms; Statistics;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.782208
  • Filename
    782208
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1538309