DocumentCode :
2312368
Title :
Applying compound Poisson process to error performance analysis in cascaded digital transmission systems
Author :
Wang, Yan-Yih ; Lu, Chung-Chin
Author_Institution :
Minist. of Commun., Chung-Li, Taiwan
fYear :
1990
fDate :
24-27 Sep 1990
Firstpage :
362
Abstract :
The authors propose a compound Poisson process model for representing the error characteristics in a digital transmission system. Only two parameters are needed to analyze the error performance of a digital transmission system. Three types of probability distributions to represent the distribution of cluster mass are illustrated. An analysis of the three-state error model, which is derived from the original Gilbert error model, is presented using the compound Poisson process approach
Keywords :
Markov processes; digital communication systems; error analysis; error statistics; Gilbert error model; cascaded digital transmission systems; cluster mass distributions; compound Poisson process; error performance analysis; probability distributions; three-state Markov chain; three-state error model; Analysis of variance; Digital integrated circuits; Digital signal processing; Performance analysis; Probability distribution; Random number generation; Random variables; Signal analysis; Signal processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Communication Systems, 1990. IEEE TENCON'90., 1990 IEEE Region 10 Conference on
Print_ISBN :
0-87942-556-3
Type :
conf
DOI :
10.1109/TENCON.1990.152633
Filename :
152633
Link To Document :
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