Contact:
Marcus Greferath
School of Math. Sciences
University College Dublin
Belfield, Dublin 4, Ireland
Phone:
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+353-85-153-0951 (mobile)

Joachim Rosenthal
Institut of Mathematics
University of Zurich
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8057 Zurich, Switzerland
Phone:
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ITW 2010 Dublin
IEEE Information Theory Workshop
Dublin, August 30 - September 3, 2010




Low-density codes

Mon 30 Aug, 14.40-16.00, Room 1

Contributed session

Dung Viet Nguyen, Bane Vasić, Michael Marcellin, and Shashi Kiran Chilappagari
Structured LDPC Codes from Permutation Matrices Free of Small Trapping Sets

Abstract: This paper introduces a class of structured low-density parity-check (LDPC) codes whose parity check matrices are arrays of permutation matrices. The permutation matrices are obtained from Latin squares and form a finite field under some matrix operations. They are chosen so that the Tanner graphs do not contain subgraphs harmful to iterative decoding algorithms. The construction of column-weight-three codes is presented. Although the codes are optimized for the Gallager A/B algorithm over the binary symmetric channel (BSC), their error performance is very good on the additive white Gaussian noise channel (AWGNC) as well.
Mon 30 Aug, 14.40-15.00, Room 1

David G. M. Mitchell, Roxana Smarandache, Michael Lentmaier, and Daniel J. Costello, Jr.
Quasi-Cyclic Asymptotically Regular LDPC Codes

Abstract: Families of asymptotically regular LDPC block code ensembles can be formed by terminating (J,K)-regular protograph-based LDPC convolutional codes. By varying the termination length, we obtain a large selection of LDPC block code ensembles with varying code rates, minimum distance that grows linearly with block length, and capacity approaching iterative decoding thresholds, despite the fact that the terminated ensembles are almost regular. In this paper, we investigate the properties of the quasi-cyclic (QC) members of such an ensemble. We show that an upper bound on the minimum Hamming distance of members of the QC sub-ensemble can be improved by careful choice of the component protographs used in the code construction. Further, we show that the upper bound on the minimum distance can be improved by using arrays of circulants in a graph cover of the protograph.
Mon 30 Aug, 15.00-15.20, Room 1

David F. Hayes, Sarah J. Johnson, and Steven R. Weller
Irregular Repeat-Accumulate-Like Codes with Improved Error Floor Performance

Abstract: In this paper, we present a new class of iteratively decoded error correction codes. These codes, which are a modification of irregular repeat-accumulate (IRA) codes, are termed generalized IRA (GIRA) codes, and are designed for improved error floor performance. GIRA codes are systematic, easily encodable, and are decoded with the sum-product algorithm. In this paper we present a density evolution algorithm to compute the threshold of GIRA codes, and find GIRA degree distributions which produce codes with good thresholds. We then propose inner code designs and show using simulation results that they improve upon the error floor performance of IRA codes.
Mon 30 Aug, 15.20-15.40, Room 1

Lorenzo Cappellari
Lossy Source Compression of Non-Uniform Binary Sources Using GQ-LDGM Codes

Abstract: In this paper, we study the use of GF(q)-quantized LDGM codes for binary source coding. By employing quantization, it is possible to obtain binary codewords with a non-uniform distribution. The obtained statistics is hence suitable for optimal, direct quantization of non-uniform Bernoulli sources. We employ a message-passing algorithm combined with a decimation procedure in order to perform compression. The experimental results based on GF(q)-LDGM codes with regular degree distributions yield performances quite close to the theoretical rate-distortion bounds.
Mon 30 Aug, 15.40-16.00, Room 1

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