香农-范诺 和 霍夫曼无损 压缩算法-Shannon and huffman code by C++

为比较函数，主要用于信源符号的分组 current_P为当前分组的信源的概率矢量 current_index为当前分组的信源的下标 -To compare the function, the main source symbols for the group current_P source for the current packet probability vector current_index source for the current pac

Huffman And Shannon Fano Coding

熵编码(entropy encoding)是一类利用数据的统计信息进行压缩的无语义数据流之无损编码。本章先介绍熵的基本概念，然后介绍香农-范诺(Shannon-Fano)编码、哈夫曼(Huffman)编码、算术编码(arithmetic coding)、行程编码(RLE)和LZW编码等常用的熵编码方法。-Entropy coding (entropy encoding) is a kind of the compressed by using the data statistics of the