• DocumentCode
    1221791
  • Title

    Fractional biorthogonal partners in channel equalization and signal interpolation

  • Author

    Vrcelj, Bojan ; Vaidyanathan, P.P.

  • Author_Institution
    Dept. of Electr. Eng., California Inst. of Technol., Pasadena, CA, USA
  • Volume
    51
  • Issue
    7
  • fYear
    2003
  • fDate
    7/1/2003 12:00:00 AM
  • Firstpage
    1928
  • Lastpage
    1940
  • Abstract
    The concept of biorthogonal partners has been introduced recently by the authors. The work presented here is an extension of some of these results to the case where the upsampling and downsampling ratios are not integers but rational numbers, hence, the name fractional biorthogonal partners. The conditions for the existence of stable and of finite impulse response (FIR) fractional biorthogonal partners are derived. It is also shown that the FIR solutions (when they exist) are not unique. This property is further explored in one of the applications of fractional biorthogonal partners, namely, the fractionally spaced equalization in digital communications. The goal is to construct zero-forcing equalizers (ZFEs) that also combat the channel noise. The performance of these equalizers is assessed through computer simulations. Another application considered is the all-FIR interpolation technique with the minimum amount of oversampling required in the input signal. We also consider the extension of the least squares approximation problem to the setting of fractional biorthogonal partners.
  • Keywords
    FIR filters; equalisers; interference suppression; interpolation; least squares approximations; signal sampling; ZFEs; all-FIR interpolation technique; channel equalization; channel noise; digital communications; downsampling ratios; finite impulse response fractional biorthogonal partners; fractional biorthogonal partners; fractionally spaced equalization; least squares approximation; noise suppression; rational numbers; signal interpolation; stable fractional biorthogonal partners; upsampling ratios; zero-forcing equalizers; 1f noise; Application software; Biomedical signal processing; Computer simulation; Digital communication; Equalizers; Finite impulse response filter; Image reconstruction; Interpolation; Least squares approximation;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/TSP.2003.812844
  • Filename
    1206701