Low density parity check matrices for coding of correlated sources

1 January 2003

conference paper
Published by Institute of Electrical and Electronics Engineers (IEEE)

p. 173
https://doi.org/10.1109/isit.2003.1228187

Abstract

This paper considers linear matrices for a coding problem for correlated sources. It is proved that we can construct codes by using sparse matrices, which are also called low density parity check (LDPC) matrices.

Keywords

PARITY CHECK CODES
SPARSE MATRICES
DECODING
ERROR PROBABILITY
PROBABILITY DISTRIBUTION
GALOIS FIELDS
ENCODING
ERROR ANALYSIS
SUFFICIENT CONDITIONS
EAR

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Low density parity check matrices for coding of correlated sources
Published by Institute of Electrical and Electronics Engineers (IEEE) ,2003