• DocumentCode
    1427751
  • Title

    Root moments: a digital signal-processing perspective

  • Author

    Stathaki, T.

  • Author_Institution
    Signal Process. & Digital Syst. Sect., Imperial Coll. of Sci., Technol. & Med., London, UK
  • Volume
    145
  • Issue
    4
  • fYear
    1998
  • fDate
    8/1/1998 12:00:00 AM
  • Firstpage
    293
  • Lastpage
    302
  • Abstract
    The use of cepstral parameters is gaining importance in many areas. However, their introduction is usually through an approach which often mars their simplicity and beauty. The differential cepstrum is an important variant of this class of signal transformations. It has been defined in terms of the logarithmic derivative of the z transform of a given signal. However, a more useful approach is through the Cauchy residue theorem, which yields additional insight and properties. The entire concept and additional properties may be developed in a way that leads naturally to the celebrated Newton identities. These identities are developed and elaborated in the paper. Furthermore, they are employed innovatively in signal-processing problems, including the determination of the minimum phase component of a signal, a stability test for linear systems and the detection of abrupt changes in a signal
  • Keywords
    Newton method; Z transforms; cepstral analysis; polynomials; signal detection; signal processing; stability; Cauchy residue theorem; Newton identities; abrupt changes detection; cepstral parameters; differential cepstrum; digital signal-processing; linear systems; logarithmic derivative; minimum phase component; root moments; signal transformations; stability test; z transform;
  • fLanguage
    English
  • Journal_Title
    Vision, Image and Signal Processing, IEE Proceedings -
  • Publisher
    iet
  • ISSN
    1350-245X
  • Type

    jour

  • DOI
    10.1049/ip-vis:19982148
  • Filename
    715335