Estimating the Information Rate of Noisy Two-Dimensional Constrained Channels
METADATA ONLY
Author / Producer
Date
2010
Publication Type
Conference Paper
ETH Bibliography
yes
Citations
Altmetric
METADATA ONLY
Data
Rights / License
Abstract
The problem of computing the information rate of noisy two-dimensional constrained source/channel models has been an unsolved problem. In this paper, we propose two Monte Carlo methods for this problem. The first method, which is exact in expectation, combines tree-based Gibbs sampling with importance sampling. The second method uses generalized belief propagation and is shown to yield a good approximation of the information rate.
Permanent link
Publication status
published
External links
Editor
Book title
2010 IEEE International Symposium on Information Theory
Journal / series
Volume
Pages / Article No.
1678 - 1682
Publisher
IEEE
Event
IEEE International Symposium on Information Theory (ISIT 2010)
Edition / version
Methods
Software
Geographic location
Date collected
Date created
Subject
Organisational unit
03568 - Loeliger, Hans-Andrea / Loeliger, Hans-Andrea