• DocumentCode
    1312759
  • Title

    On the measure of the set of factorizable polynomial bispectra

  • Author

    Erdem, A. Tanju ; Tekalp, A. Murat

  • Author_Institution
    Dept. of Electr. Eng., Rochester Univ., NY, USA
  • Volume
    38
  • Issue
    9
  • fYear
    1990
  • fDate
    9/1/1990 12:00:00 AM
  • Firstpage
    1637
  • Lastpage
    1639
  • Abstract
    In a recent work (1989), the authors have shown that factorization of bispectrum is not always possible. In the present work, they show that the subset of factorizable bispectra has Lebesgue measure zero in the set of polynomial bispectra, i.e. those that are obtained from finite-support bicumulants. Hence, a polynomial bispectrum cannot almost always be exactly realized as that of the output of a linear model driven by a third-order white input. This result can be generalized to multidimensional polynomial bispectra. Although it follows that a linear model driven by a third-order white input cannot almost always realize a given bispectrum or a bicumulant sequence, the use of a linear model as an approximation in certain applications can be justified if the computed bispectrum has an index value close to unity
  • Keywords
    polynomials; spectral analysis; Lebesgue measure; bispectrum; factorizable polynomial bispectra; factorization; finite-support bicumulants; linear model; multidimensional polynomial bispectra; third-order white input; Acoustic signal processing; Finite impulse response filter; Geometry; Interference; Multidimensional signal processing; Multidimensional systems; Polynomials; Signal processing; Speech; Tin;
  • fLanguage
    English
  • Journal_Title
    Acoustics, Speech and Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0096-3518
  • Type

    jour

  • DOI
    10.1109/29.60081
  • Filename
    60081