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Lossy source compression of non-uniform binary sources using GQ-LDGM codes

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1 Author(s)
Lorenzo Cappellari ; Dept. of Information Engineering, University of Padova, Italy

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.

Published in:

Information Theory Workshop (ITW), 2010 IEEE

Date of Conference:

Aug. 30 2010-Sept. 3 2010