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An empirical evaluation of coding methods for multi-symbol alphabets

机译:多符号字母编码方法的经验评估

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The authors examine the resource requirements and compression efficiency of the coding phase, concentrating on applications with medium and large alphabets. When semi-static two-pass encoding can be used, Huffman coding is two to four times faster than arithmetic coding, and sometimes results in superior compression. When an adaptive coder is required the difference in speed is smaller, but Gallager's implementation of dynamic Huffman coding is still faster than arithmetic coding in most situations. The compression loss through the use of Huffman codes is negligible in all but extreme circumstances. Where very high speed is necessary splay coding is also worth considering, although it yields poorer compression.
机译:作者研究了编码阶段的资源需求和压缩效率,重点关注中,大字母的应用程序。当可以使用半静态的两遍编码时,霍夫曼编码的速度是算术编码的2至4倍,有时还可以实现更好的压缩效果。当需要自适应编码器时,速度差异较小,但是在大多数情况下,Gallager的动态霍夫曼编码实现比算术编码更快。除了极端情况外,通过使用霍夫曼码的压缩损失可以忽略不计。在需要非常高的速度的情况下,展开编码也值得考虑,尽管它会产生较差的压缩。

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