DocumentCode :
2055144
Title :
On lower bounds for the capacity of deletion channels
Author :
Drinea, Eleni ; Mitzenmacher, Michael
Author_Institution :
Div. of Eng. & Appl. Sci., Harvard Univ., Cambridge, MA, USA
fYear :
2004
fDate :
27 June-2 July 2004
Firstpage :
227
Abstract :
We consider binary deletion channels, where bits are deleted independently with probability d. We extend the framework used to analyze the capacity of binary deletion channels established by Diggavi and Grossglauser [2001], improving on their lower bounds. In Diggavi and Grossglauser, the codewords are generated by a first order Markov chain. Our improvements arise from two considerations. First, Diggavi and Grossglauser consider typical outputs, where an output is typical if an N bit input produces an output of at least N(1-d)(1-ε) bits. We provide a stronger notion of a typical output that yields better bounds even for the cases studied in Diggavi and Grossglauser. Second, we consider codewords generated by more general processes than first order Markov chains.
Keywords :
Markov processes; channel capacity; probability; random codes; binary deletion channel capacity; bit deletion; codeword; first order Markov chain; probability; Capacity planning; Channel capacity; Decoding; Markov processes; Probability distribution; Stochastic processes; Upper bound;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory, 2004. ISIT 2004. Proceedings. International Symposium on
Print_ISBN :
0-7803-8280-3
Type :
conf
DOI :
10.1109/ISIT.2004.1365265
Filename :
1365265
Link To Document :
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