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
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