Title :
Polynomial representation of burst error statistics
Author_Institution :
Fern Univ., Hagen, Germany
Abstract :
A burst error process is characterized by three variables x,y,z related to a two-state Gilbert-Elliott channel with fifty percent bit error rate in the bad state. The variables x and y describe the Markov process of the model. The variable z reflects the mean bit error rate. On such a channel, the probability of any single error sequence and hence any collection thereof can be represented by polynomials in x, y, z which extends the one-variable description in z applicable for statistically independent errors
Keywords :
coding errors; Markov process; burst error statistics; mean bit error rate; polynomial representation; probability; single error sequence; statistically independent errors; two-state Gilbert-Elliott channel; Automata; Bit error rate; Error analysis; Markov processes; Modal analysis; Performance analysis; Polynomials; Probability; Stationary state; Stochastic processes;
Conference_Titel :
Information Theory, 1995. Proceedings., 1995 IEEE International Symposium on
Conference_Location :
Whistler, BC
Print_ISBN :
0-7803-2453-6
DOI :
10.1109/ISIT.1995.532924
