CaltechTHESIS
  A Caltech Library Service

Graphical models and iterative decoding

Citation

Aji, Srinivas Mandayam (2000) Graphical models and iterative decoding. Dissertation (Ph.D.), California Institute of Technology. http://resolver.caltech.edu/CaltechETD:etd-04112003-162805

Abstract

Since the invention of turbo codes, there has been a lot of interest in iterative decoding schemes.It is also known that the turbo decoding algorithm and several other previously known iterative algorithms are instances of Pearl's belief propagation algorithm applied to a graph with cycles, while the algorithm is known to work only for graphs without cycles. We describe a marginalization algorithm which works on junction trees, which is based on some newer developments in Bayesian networks. This is sufficiently general that Pearl's belief propagation and decoding on Tanner graphs may be regarded as special cases. An attempt to compute the discrete Fourier transform as a marginalization problem in this framework gives the fast Fourier transform algorithm, thus showing that this framework has applications apart from probabilistic computations. Junction graphs with cycles lead to an iterative algorithm. The case of junction graphs with a single cycle is analyzed, with specific results in the case of the sum-product algorithm. We also have some experimental results for small turbo code-like junction graphs. On a different topic, we consider the typical set decoder, which can be used to obtain bounds on the noise threshold for asymptotically error free decoding, for given code ensembles. Some choices of the typical set for AWGN channel are considered and the resulting bounds on the threshold obtained.

Item Type:Thesis (Dissertation (Ph.D.))
Subject Keywords:graphical models; iterative decoding
Degree Grantor:California Institute of Technology
Major Option:Electrical Engineering
Awards:Charles and Ellen Wilts Prize, 2001
Thesis Availability:Public (worldwide access)
Thesis Committee:
  • McEliece, Robert J.
Defense Date:12 May 2000
Author Email:mas (AT) systems.caltech.edu
Record Number:CaltechETD:etd-04112003-162805
Persistent URL:http://resolver.caltech.edu/CaltechETD:etd-04112003-162805
Default Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:1340
Collection:CaltechTHESIS
Deposited By: Imported from ETD-db
Deposited On:05 May 2003
Last Modified:26 Dec 2012 02:37

Thesis Files

[img]
Preview
PDF (gmit.pdf) - Final Version
See Usage Policy.

683Kb
[img]
Preview
Postscript (gmit.ps) - Final Version
See Usage Policy.

824Kb

Repository Staff Only: item control page