We present our work on fast entropy coders for binary messages utilizing only bit shifts and table lookups. To minimize code table size we limit our code lengths with a novel type of variable-to-variable (VV) length code created from source word merging. We refer to these codes as merged codes. With merged codes it is possible to achieve a desired level of efficiency by adjusting the number of bits read from the source at each step. The most efficient merged codes yield a coder with an inefficiency of 0.4%, relative to the Shannon entropy, in the worst case. On one …
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Lawrence Livermore National Lab., CA (United States)
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We present our work on fast entropy coders for binary messages utilizing only bit shifts and table lookups. To minimize code table size we limit our code lengths with a novel type of variable-to-variable (VV) length code created from source word merging. We refer to these codes as merged codes. With merged codes it is possible to achieve a desired level of efficiency by adjusting the number of bits read from the source at each step. The most efficient merged codes yield a coder with an inefficiency of 0.4%, relative to the Shannon entropy, in the worst case. On one of our test systems a current implementation of coder using merged codes has a throughput of 35 Mbytes/sec.
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Senecal, J; Joy, K & Duchaineau, M.Merged Source Word Codes for Efficient, High-Speed Entropy Coding,
article,
December 5, 2002;
California.
(https://digital.library.unt.edu/ark:/67531/metadc1417003/:
accessed May 16, 2024),
University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu;
crediting UNT Libraries Government Documents Department.
