• DocumentCode
    1385506
  • Title

    Limits on discrete modulated signals

  • Author

    Bovik, Alan C. ; Havlicek, Joseph P. ; Desai, Mita D. ; Harding, David S.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Texas Univ., Austin, TX, USA
  • Volume
    45
  • Issue
    4
  • fYear
    1997
  • fDate
    4/1/1997 12:00:00 AM
  • Firstpage
    867
  • Lastpage
    879
  • Abstract
    We develop theorems of a general nature that apply to the analysis of AM-FM signals of the form a(m)exp [jφ(m)] or a(m) cos [φ(m)] and to their behavior both in linear systems and in simple nonlinear systems comprised of products of linear elements. Such product-systems include interesting nonlinear demodulation operators, such as the Teager-Kaiser (1990) operator. Expressions for the approximate system responses to AM-FM signals are derived by making an analogy to the eigenfunction interpretation of sinusoids in linear systems; for the case of sinusoidal signals, the approximations are exact. These expressions are collectively called quasieigenfunction approximations (QEAs). For nonsinusoidal AM-FM signals, the approximations have errors that are tightly bounded by functionals that express the smoothness of the AM and FM information signals and the durations of the involved system impulse responses. The bounds are independent of the bandwidths of the AM and FM functions. Two general applications are considered. First, the approximations are found to be useful for analyzing discrete-time nonlinear energy operators, including the Teager-Kaiser operator. Next, the approximation theorems lead to the selection of an optimal class of bandpass filters for use in a discrete multiband AM-FM demodulation system. The filter class selected is optimal in the sense of achieving the lower bound of a novel discrete uncertainty principle
  • Keywords
    amplitude modulation; approximation theory; band-pass filters; demodulation; discrete time systems; eigenvalues and eigenfunctions; frequency modulation; linear systems; nonlinear systems; smoothing methods; transient response; AM information signal smoothness; AM-FM signal analysis; FM information signal smoothness; Teager-Kaiser operator; approximate system responses; approximation errors; discrete modulated signals; discrete multiband AM-FM demodulation system; discrete uncertainty principle; discrete-time nonlinear energy operators; eigenfunction interpretation; functionals; linear elements product; linear systems; nonlinear demodulation operators; nonlinear systems; nonsinusoidal AM-FM signals; optimal bandpass filters; product-systems; quasieigenfunction approximations; sinusoidal signals; system impulse responses; theorems; Band pass filters; Bandwidth; Demodulation; Eigenvalues and eigenfunctions; Frequency modulation; Linear systems; Nonlinear systems; Signal analysis; Speech analysis; Uncertainty;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.564175
  • Filename
    564175