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A fast algorithm for constructing nearly optimal prefix codes

机译:一种构建近似最佳前缀码的快速算法

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Huffman algorithm allows for constructing optimal prefix-codes with O(nlogn) complexity. As the number of symbols ngrows, so does the complexity of building the code-words. In this paper, a new algorithm and implementation are proposed that achieve nearly optimal coding without sorting the probabilities or building a tree of codes. The complexity is proportional to the maximum code length, making the algorithm especially attractive for large alphabets. The focus is put on achieving almost optimal coding with a fast implementation, suitable for real-time compression of large volumes of data. A practical case example about checkpoint files compression is presented, providing encouraging results. Copyright (c) 2015 John Wiley & Sons, Ltd.
机译:霍夫曼算法允许构造具有O(n logn )复杂度的最优前缀代码。随着符号数量的增加,构建代码字的复杂性也随之增加。在本文中,提出了一种新的算法和实现,该算法和实现可实现几乎最佳的编码,而无需对概率进行分类或构建代码树。复杂度与最大代码长度成正比,这使得该算法对于大字母特别有吸引力。重点是通过快速实现来实现几乎最佳的编码,适用于大量数据的实时压缩。给出了有关检查点文件压缩的​​实际案例,提供了令人鼓舞的结果。版权所有(c)2015 John Wiley&Sons,Ltd.

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