Paper Info
Title
Exploitation of 2D binary source correlation using turbo block codes with fine-tuning.
Abstract
This article proposes a joint source-channel coding technique for two-dimensional (2D) binary Markov sources by using concatenated turbo block codes composed of two Bose, Chaudhuri, Hocquenghem (BCH) codes, of which output is followed by a rate-1 recursive systematic convolutional code. The source correlation of all rows and columns of the 2D source is well exploited by using a modified Bahl–Cocke–Jelinek–Raviv (BCJR) algorithm for the decoding of the BCH codes. Simulation results show that the proposed technique outperforms in terms of bit error rate the codes that exploits one-dimensional (1D) source correlation using the modified BCJR algorithm, and obviously the conventional system without source correlation exploitation. In order to further improve the performance, this article aims to make fine-tuning of the code parameters, given the source correlation property, that can achieve performance even closer to the theoretical limit than without the fine-tuning. Finally, results of image transmission simulations using two images, one having strong and the other weak 2D correlation, are presented to demonstrate the effectiveness of our proposed technique.
Year
DOI
Venue
2013
10.1186/1687-1499-2013-89
EURASIP J. Wireless Comm. and Networking
Keywords
Field
DocType
Convolutional Code, State Transition Probability, Additive White Gaussian Noise Channel, Entropy Rate, Source Correlation
BCJR algorithm,Concatenated error correction code,Convolutional code,Computer science,Serial concatenated convolutional codes,Turbo code,Block code,Algorithm,Theoretical computer science,Real-time computing,BCH code,Linear code
Journal
Volume
Issue
ISSN
2013
1
1687-1499
Citations 
PageRank 
References 
9
0.36
12
Authors
5
Name
Order
Citations
PageRank
Mohd Azri Mohd Izhar1163.91
Norsheila Fisal217925.24
Xiaobo Zhou39711.93
Khoirul Anwar414015.70
Tad Matsumoto542045.78