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
Link To Document :
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