Algorithms for infinite huffman-codes
SODA '04 Proceedings of the fifteenth annual ACM-SIAM symposium on Discrete algorithms
Existence of optimal prefix codes for infinite source alphabets
IEEE Transactions on Information Theory
Optimal prefix codes for sources with two-sided geometric distributions
IEEE Transactions on Information Theory
Online prefix-free encoding algorithm
SPPRA'06 Proceedings of the 24th IASTED international conference on Signal processing, pattern recognition, and applications
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Run-length encoding is used in applications that process digitised analogue data. Lossless image compression is an example. Golomb encoding is optimal for infinite geometric probability distributions. A wider class of codes is presented here, all of which are suitable for encoding the elements from an infinite set. It is shown that each code can be described by a polynomial K(L), which determines the number of codewords of length L. An even wider class of codes is also considered in which the number of codewords grows geometrically with their length. Criteria are given for excluding such codes from further consideration.