• DocumentCode
    698320
  • Title

    Line spectral properties of quadratic models

  • Author

    Backstrom, Tom

  • Author_Institution
    Lab. of Acoust. & Audio Signal Process., Helsinki Univ. of Technol., Helsinki, Finland
  • fYear
    2005
  • fDate
    4-8 Sept. 2005
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Line Spectrum Pair (LSP) decomposition is a technique developed for robust representation of the coefficients of a Linear Predictive (LP) model. It has favourable properties with respect to root loci and quantisation noise. In this article, we will explore the properties of LSP polynomials when they are used to represent quadratic models of form A2(z) and A(z)z-mA(z-1). The quadratic models show intriguing properties in LSP decomposition, which can be used to develop a Levinson-type algorithm.
  • Keywords
    polynomials; quantisation (signal); root loci; LSP decomposition; LSP polynomials; Levinson-type algorithm; intriguing properties; line spectral properties; line spectrum pair decomposition; linear predictive model; quadratic models; quantisation noise; robust representation; root loci; Mathematical model; Matrix decomposition; Polynomials; Predictive models; Speech; Symmetric matrices; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Conference, 2005 13th European
  • Conference_Location
    Antalya
  • Print_ISBN
    978-160-4238-21-1
  • Type

    conf

  • Filename
    7077903
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=698320