DocumentCode :
945337
Title :
The probability density of the output of a filter when the input is a random telegraphic signal: Differential-equation method
Author :
McFadden, J.A.
Volume :
5
Issue :
5
fYear :
1959
fDate :
5/1/1959 12:00:00 AM
Firstpage :
228
Lastpage :
233
Abstract :
By the method of Darling and Siegert, a differential equation is obtained for the characteristic function of the output of a linear system when the input is a random telegraphic signal, i.e., a random square wave with zeros obeying the Poisson distribution. For the ideal integrator with finite memory and for the RC low-pass filter, the solutions agree with previous results. For a truncated exponential weighting function, the characteristic function is obtained in terms of Bessel functions. For a particular ratio of the constants, the probability density of the output is rectangular except for \\delta - functions at the edges. The applicability of this rectangular solution to other systems is investigated,
Keywords :
Filters; Markov processes; Poisson processes; Probability functions; Stochastic signals; Boundary conditions; Differential equations; Gaussian processes; H infinity control; Integral equations; Laboratories; Linear systems; Low pass filters; Markov processes; Nonlinear filters; Poisson equations; Random processes; Signal processing;
fLanguage :
English
Journal_Title :
Information Theory, IRE Transactions on
Publisher :
ieee
ISSN :
0096-1000
Type :
jour
DOI :
10.1109/TIT.1959.1057544
Filename :
1057544
Link To Document :
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