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On the expected codeword length per symbol of optimal prefix codes for extended sources
Conference paper

On the expected codeword length per symbol of optimal prefix codes for extended sources

Jay Cheng
IWCMC 2007: Proceedings of the 2007 International Wireless Communications and Mobile Computing Conference, pp.325-328
2007

Abstract

Extended sources Huffman codes Minimum codeword length Optimal codes
For a discrete memoryless source X, it is well known that the expected codeword length per symbol L <sub>n</sub> (X) of an optimal prefix code for the extended source X <sup>n</sup> converges to the source entropy. However, the sequence L <sub>n</sub> (X) need not be nonincreasing. As the encoding and decoding complexity increases exponentially with the block length, from a practical perspective it is both important and of interest to know when we can have a decrease in the expected codeword length per symbol by increasing the block length. In this paper, we obtain some results on the behavior of L <sub>n</sub> (X) and provide sufficient conditions for L <sub>kn</sub> (X)< L <sub>n</sub> (X) in terms of k, n, the probability of the most likely source symbol p <sub>1</sub> and/or the minimum codeword length of an optimal code for the original source. By using these sufficient conditions, for any given n 1 and non-dyadic pn<over>1, we also obtain an integer k* 2 such that L <sub>k'n</sub> (X) < L <sub>n</sub> (X) for all k' k*. Our results could be regarded as extensions and generalizations of those by Montgomery and Kumar. Copyright 2007 ACM.

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