• DocumentCode
    1236458
  • Title

    Methods for Processing Complex Waveforms through Filters for Use in Monte Carlo Noise Studies

  • Author

    Corrington, Murlan S. ; Hilinski, T.C. ; Schaming, W.B.

  • Volume
    12
  • Issue
    1
  • fYear
    1969
  • fDate
    3/1/1969 12:00:00 AM
  • Firstpage
    34
  • Lastpage
    43
  • Abstract
    Any N-pole linear lumped-constant time-invariant network can be represented by a linear homogeneous difference equation. If an arbitrary input waveform is sampled at equally spaced time intervals, so that eight or more samples are available at the highest significant frequency present, the output waveform can be computed in a simple manner from the difference equation. If K input samples are to be filtered, the saving in computer time, when compared to the usage of the convolution integral, is equal to K. The method is illustrated by the simulation of an FM receiver, operating at threshold, in the presence of Gaussian noise.
  • Keywords
    Computational modeling; Computer simulation; Convolution; Difference equations; Frequency; Gaussian noise; Monte Carlo methods; Nonlinear filters; Receivers; Sampling methods;
  • fLanguage
    English
  • Journal_Title
    Education, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9359
  • Type

    jour

  • DOI
    10.1109/TE.1969.4320437
  • Filename
    4320437