• DocumentCode
    2047793
  • Title

    Promoting polynomial predictive filtering on the Internet

  • Author

    Martikainen, Jarno ; Ovaska, Seppo J.

  • Author_Institution
    Inst. of Intelligent Power Electron., Helsinki Univ. of Technol., Espoo, Finland
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    373
  • Lastpage
    378
  • Abstract
    Polynomial predictive filtering (PPF) is a powerful tool for modern digital signal processing. Still, not as widely known as it should be. To make the new techniques easier to approach, we have established an Internet site, which, at the moment contains illustrative documentation for the recursive linear smoothed Newton (RLSN) and the Heinonen-Neuvo (H-N) finite impulse response (FIR) predictors. Two MATLAB-based easy-to-use filter designers for both the RLSN and the H-N predictors are also available. With the help of these automatic designers, users are offered a convenient way to get to know what polynomial predictive filtering is all about by easily experimenting themselves. The Internet, and the World-Wide Web (WWW) especially, offer a flexible, easily maintainable and popular platform for promoting these ideas and techniques
  • Keywords
    FIR filters; IIR filters; Newton method; computer aided instruction; electronic engineering education; information resources; polynomials; prediction theory; recursive filters; smoothing methods; FIR; H-N predictor; Heinonen-Neuvo finite impulse response predictor; Internet site; MATLAB-based easy-to-use filter designer; RLSN; WWW; World-Wide Web; digital signal processing; polynomial predictive filtering; recursive linear smoothed Newton predictor; Computer languages; Digital filters; Digital signal processing; Documentation; Finite impulse response filter; Information filtering; Information filters; Internet; Polynomials; World Wide Web;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Southeastcon 2000. Proceedings of the IEEE
  • Conference_Location
    Nasville, TN
  • Print_ISBN
    0-7803-6312-4
  • Type

    conf

  • DOI
    10.1109/SECON.2000.845595
  • Filename
    845595