LDPC Codes

Contact Details

Dr. Sarah Johnson

Email

Phone

+61 2 49 21 5385

Fax

+61 2 49 21 6993

Office

Callaghan Campus
Building ES228

Post

Dr. Sarah Johnson

School of Electrical Engineering and Computer Science
University of Newcastle
Callaghan, NSW 2308
Australia

- - -

Funding

Australian Research Council

ARC Discovery Project
DP0665742
2006-2008
Value: $112,128

Australian Research Council

ARC Discovery Project
DP0449627
2004-2006
Value: $257,466

Australian Research Council

ARC Research Network
2004-2009
Value: $120,000

Australian Research Council

Discovery Project
DP0771131
2007-2009
Value: $210,000

Australian Research Council

Discovery Project
DP0877258
2008-2010
Value: $335,000

Australian Research Council

FT110100195
2011-2015
Value: $623,278

Australian Research Council

Discovery Project
DP1093114
2010-2012
Value: $150,000

University of Newcastle

Research Fellowship Project Grant
2009
Value: $15,000

University of Newcastle

UoN Research Fellowship
2007-2012
Value: $450,000

This project investigates the design and decoding of low-density parity-check (LDPC) codes and a related class of codes called repeat-accumulate (RA) codes. This project includes an online implementation of density evolution and offers resources related to LDPC and RA codes.





The original image (encoded with a rate-1/2 LDPC code), and with noise added


Iterative decoder: the result after iterations 2, 4 and 20.

Contents
Iterative Error Correction
Turbo, Low-Density Parity-Check and Repeat-Accumulate Codes
Sarah J. Johnson
356 pages, Cambridge University Press, 2010

Iterative error correction codes have found widespread application in cellular communications, digital video broadcasting and wireless LANs. This self-contained treatment of iterative error correction presents all the key ideas needed to understand, design, implement and analyse these powerful codes. Turbo, low-density parity-check, and repeat-accumulate codes are given equal, detailed coverage, with precise presentations of encoding and decoding procedures. Worked examples are integrated into the text to illuminate each new idea and pseudo-code is included for important algorithms to facilitate the reader's development of the techniques described. For each subject, the treatment begins with the simplest case before generalizing. There is also coverage of advanced topics such as density-evolution and EXIT charts for those readers interested in gaining a deeper understanding of the field. This text is ideal for graduate students in electrical engineering and computer science departments, as well as practitioners in the communications industry.

Maintained by Dr. Sarah Johnson
University of Newcastle
17 Dec 2010, © Copyright