
We present a new algorithm for dynamic prefix-free coding, based on Shannon coding. We give a simple analysis and prove a better upper bound on the length of the encoding produced than the corresponding bound for dynamic Huffman coding. We show how our algorithm can be modified for efficient length-restricted coding, alphabetic coding and coding with unequal letter costs.
6 pages; conference version presented at ESA 2004; journal version submitted to IEEE Transactions on Information Theory
FOS: Computer and information sciences, Computer Science - Information Theory, Information Theory (cs.IT), E.4, Source coding, data compression, on-line algorithms
FOS: Computer and information sciences, Computer Science - Information Theory, Information Theory (cs.IT), E.4, Source coding, data compression, on-line algorithms
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