DocumentCode :
2516904
Title :
Error recovery of variable length codes over BSC with arbitrary crossover probability
Author :
Zhou, Jiantao ; Au, Oscar C. ; Fan, Xiaopeng ; Wong, Peter Hon-Wah
Author_Institution :
Dept. of Electron. & Comput. Eng., Hong Kong Univ. of Sci. & Technol., Hong Kong
fYear :
2008
fDate :
6-11 July 2008
Firstpage :
1188
Lastpage :
1192
Abstract :
The error recovery capability of variable length code (VLC) has been considered as an important performance and design criterion in addition to its coding efficiency. However, almost all of the existing methods for evaluating the error recovery capability of VLC assume that the transmission fault is a random single bit inversion. In this paper, we consider a more generalized problem of precisely evaluating the error recovery capability of VLC in the case that the encoded bit stream is transmitted over a BSC with arbitrary crossover probability. By making use of the Perron-Frobenius Theorem, we derive a very simple expression for the exact mean symbol error rate (MSER) in Levenshtein distance sense. We also prove that in the very low crossover probability region, the mean error propagation length (MEPL) derived for single inversion error case approaches a scaled value of MSER. In addition, we briefly discuss the error recovery of VLC over Gilbert-Elliott channel, which is one of the simplest and practical models for a channel with memory.
Keywords :
probability; system recovery; variable length codes; BSC; Gilbert-Elliott channel; Levenshtein distance sense; Perron-Frobenius Theorem; arbitrary crossover probability; error recovery; mean error propagation length; mean symbol error rate; variable length codes; Bit error rate; Computer errors; Couplings; Decoding; Design engineering; Error analysis; Gold; Noise robustness; Probability; Source coding; BSC; Source coding; VLC; error recovery;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory, 2008. ISIT 2008. IEEE International Symposium on
Conference_Location :
Toronto, ON
Print_ISBN :
978-1-4244-2256-2
Electronic_ISBN :
978-1-4244-2257-9
Type :
conf
DOI :
10.1109/ISIT.2008.4595175
Filename :
4595175
Link To Document :
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