• DocumentCode
    2506304
  • Title

    Filtering of stochastic signal sets: A new piecewise interpolation technique

  • Author

    Torokhti, Anatoli

  • Author_Institution
    CIAM, Univ. of South Australia, Mawson Lakes, SA, Australia
  • fYear
    2011
  • fDate
    28-30 June 2011
  • Firstpage
    621
  • Lastpage
    624
  • Abstract
    A new non-linear filtering technique based on an extension of the device of piecewise linear function interpolation is developed. Using the same initial information as is usually used for the Wiener filter (samples of signals), our filter achieves any desired accuracy in signal estimation. The proposed technique provides a single filter to process any signal from an infinite signal set. The filter is determined in terms of pseudo-inverse matrices so that it always exists.
  • Keywords
    Wiener filters; filtering theory; function approximation; interpolation; matrix algebra; piecewise linear techniques; stochastic processes; Wiener filter; nonlinear filtering technique; piecewise linear function interpolation technique; pseudoinverse matrix; signal estimation; stochastic signal set filtering technique; Accuracy; Computational modeling; Estimation; Filtering; Interpolation; Signal processing; Stochastic processes; Optimal filtering; Wiener filter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Statistical Signal Processing Workshop (SSP), 2011 IEEE
  • Conference_Location
    Nice
  • ISSN
    pending
  • Print_ISBN
    978-1-4577-0569-4
  • Type

    conf

  • DOI
    10.1109/SSP.2011.5967777
  • Filename
    5967777