Iterative decoding for error resilient wireless data transmission

Khan, Tawfiqul Hasan (2006) Iterative decoding for error resilient wireless data transmission. [USQ Project]


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Both turbo codes and LDPC codes form two new classes of codes that offer energy
efficiencies close to theoretical limit predicted by Claude Shannon. The features of turbo
codes include parallel code catenation, recursive convolutional encoders, punctured
convolutional codes and an associated decoding algorithm. The features of LDPC codes
include code construction, encoding algorithm, and an associated decoding algorithm.
This dissertation specifically describes the process of encoding and decoding for both turbo
and LDPC codes and demonstrates the performance comparison between theses two codes
in terms of some performance factors. In addition, a more general discussion of iterative
decoding is presented.
One significant contribution of this dissertation is a study of some major performance
factors that intensely contribute in the performance of both turbo codes and LDPC codes.
These include Bit Error Rate, latency, code rate and computational resources. Simulation
results show the performance of turbo codes and LDPC codes under different performance

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Item Type: USQ Project
Refereed: No
Item Status: Live Archive
Faculty/School / Institute/Centre: Historic - Faculty of Engineering and Surveying - Department of Electrical, Electronic and Computer Engineering (Up to 30 Jun 2013)
Date Deposited: 11 Oct 2007 01:07
Last Modified: 02 Jul 2013 22:44
Uncontrolled Keywords: LDPC; communication systems; networks; wireless; satellite; Golay code
Fields of Research (2008): 10 Technology > 1005 Communications Technologies > 100503 Computer Communications Networks
Fields of Research (2020): 40 ENGINEERING > 4006 Communications engineering > 400604 Network engineering

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