On the Capacity of Channels With Timing Synchronization Errors

Autor: Paul H. Siegel, Aravind R. Iyengar, Jack K. Wolf
Rok vydání: 2016
Předmět:
Zdroj: IEEE Transactions on Information Theory. 62:793-810
ISSN: 1557-9654
0018-9448
DOI: 10.1109/tit.2015.2504358
Popis: We consider a new formulation of a class of synchronization error channels and derive analytical bounds and numerical estimates for the capacity of these channels. For the binary channel with only deletions, we obtain an expression for the symmetric information rate in terms of subsequence weights which reduces to a tight lower bound for small deletion probabilities. We are also able to exactly characterize the Markov-1 rate for the binary channel with only replications. For a channel that introduces deletions as well as replications of input symbols, we design approximating channels that parameterize the state space and show that the information rates of these approximate channels approach that of the deletion-replication channel as the state space grows. For the case of the channel where deletions and replications occur with the same probabilities, a stronger result in the convergence of mutual information rates is shown. The numerous advantages this new formulation presents are explored.
23 pages, 5 figures, submitted to the IEEE Transactions on Information Theory, Feb 2013. Summary of some results presented at ISIT 2011 (http://arxiv.org/abs/1106.0070) Revised Feb 2015
Databáze: OpenAIRE