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- W3167457765 abstract "Many data compressors regularly encode probability distributions for entropy coding - requiring minimal description length type of optimizations. Canonical prefix/Huffman coding usually just writes lengths of bit sequences, this way approximating probabilities with powers-of-2. Operating on more accurate probabilities usually allows for better compression ratios, and is possible e.g. using arithmetic coding and Asymmetric Numeral Systems family. Especially the multiplication-free tabled variant of the latter (tANS) builds automaton often replacing Huffman coding due to better compression at similar computational cost - e.g. in popular Facebook Zstandard and Apple LZFSE compressors. There is discussed encoding of probability distributions for such applications, especially using Pyramid Vector Quantizer(PVQ)-based approach with deformation, also tuned symbol spread for tANS." @default.
- W3167457765 created "2021-06-22" @default.
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- W3167457765 date "2021-06-11" @default.
- W3167457765 modified "2023-09-27" @default.
- W3167457765 title "Encoding of probability distributions for Asymmetric Numeral Systems." @default.
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