Performance evaluation of low-density parity-check codes

Lauder, Paul (2008) Performance evaluation of low-density parity-check codes. [USQ Project]

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Abstract

LDPC codes were first introduced by Robert Gallager in 1960. Due to the complexity of the codes and the limitations of the then rudimentary computer resources the codes were neglected as a viable form of FEC. LDPC codes were rediscovered by Tanner in 1981 when he generalized the codes and provided a means of graphical representation of LDPC codes. LDPC codes were again neglected until the work of MacKay et al in the mid to late 1990’s resurrected interest in the codes when they were discovered to out perform the then premium Turbo codes.

This dissertation specifically describes the process of encoding and decoding LDPC codes and demonstrates the performance comparison between the various types of decoders in terms of bit error rate performance factors.

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Item Type:	USQ Project
Item Status:	Live Archive
Additional Information:	Bachelor of Engineering (Software) project.
Faculty/School / Institute/Centre:	Historic - Faculty of Engineering and Surveying - Department of Electrical, Electronic and Computer Engineering (Up to 30 Jun 2013)
Faculty/School / Institute/Centre:	Historic - Faculty of Engineering and Surveying - Department of Electrical, Electronic and Computer Engineering (Up to 30 Jun 2013)
Supervisors:	Xiang, Wei
Date Deposited:	12 Oct 2018 01:45
Last Modified:	12 Oct 2018 03:02
Uncontrolled Keywords:	LDPC codes; decoders
Fields of Research (2008):	01 Mathematical Sciences > 0104 Statistics > 010406 Stochastic Analysis and Modelling 10 Technology > 1005 Communications Technologies > 100503 Computer Communications Networks 08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080110 Simulation and Modelling
Fields of Research (2020):	49 MATHEMATICAL SCIENCES > 4905 Statistics > 490510 Stochastic analysis and modelling 40 ENGINEERING > 4006 Communications engineering > 400604 Network engineering 46 INFORMATION AND COMPUTING SCIENCES > 4602 Artificial intelligence > 460207 Modelling and simulation
URI:	http://eprints.usq.edu.au/id/eprint/34911

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