• DocumentCode
    1109590
  • Title

    Average Walsh Power Spectrum for Periodic Signals

  • Author

    Dinstein, Its Hak ; Silberberg, Tuvia

  • Author_Institution
    Electrical Engineering Department, Ben Gurion University of the Negev, Beer-Sheva, Israel
  • Issue
    4
  • fYear
    1981
  • Firstpage
    407
  • Lastpage
    412
  • Abstract
    A circular shift-invariant Walsh power spectrum for deterministic periodic sequences is defined. For a sequence with period N, the power spectrum is the average of the Walsh power spectra of all N possible distinct circular shifts. The Average Walsh Power Spectrum (AWPS) consists of (N/2) + 1 coefficients, each representing a distinct sequency. A fast transformation from the arithmetic autocorrelation function of a periodic sequence to its AWPS is presented.
  • Keywords
    Arithmetic; Autocorrelation; Automation; Character recognition; Discrete transforms; Erbium; Military computing; Random processes; Shape; Voltage; Walsh function; autocorrelation; average power spectrum; periodic signals;
  • fLanguage
    English
  • Journal_Title
    Electromagnetic Compatibility, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9375
  • Type

    jour

  • DOI
    10.1109/TEMC.1981.303982
  • Filename
    4091499