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A variable-length source coding theorem for correlated information sources

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1 Author(s)
Shyue-Ching Lu ; Telecommunication Laboratories at Chung-Li, Taiwan

A variable-length source coding theorem is proved for a pair of discrete memoryless correlated information sources. The average length of codewords per source letter for source X provided the side information Y is bounded below by the conditional entropy H(X|Y) and above by the same entropy plus J/L where L is the number of source letters encoded and J is the size of ensemble Y. The Huffman encoding procedure is also generalized for this case.

Published in:

Proceedings of the IEEE  (Volume:65 ,  Issue: 7 )

Date of Publication:

July 1977

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