DocumentCode
945879
Title
On the probability density of the output of a low-pass system when the input is a Markov step process
Author
Wonham, W.M.
Volume
6
Issue
5
fYear
1960
fDate
12/1/1960 12:00:00 AM
Firstpage
539
Lastpage
544
Abstract
Forward equations are derived for the
- dimensional Markov process generated when a Markov step signal
is the input to an
-order system of the form
. As examples, the joint probability densities of input and output are found for a symmetric three-level signal smoothed by an RC low-pass filter, and partial results are obtained for a doubly integrated Rice telegraph signal.
- dimensional Markov process generated when a Markov step signal
is the input to an
-order system of the form
. As examples, the joint probability densities of input and output are found for a symmetric three-level signal smoothed by an RC low-pass filter, and partial results are obtained for a doubly integrated Rice telegraph signal.Keywords
Low-pass filters; Markov processes; Probability functions; H infinity control; Information theory; Linear systems; Low pass filters; Markov processes; Nonlinear equations; Random variables; Signal generators; Signal processing; Telegraphy;
fLanguage
English
Journal_Title
Information Theory, IRE Transactions on
Publisher
ieee
ISSN
0096-1000
Type
jour
DOI
10.1109/TIT.1960.1057599
Filename
1057599
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