给出信源符号的一阶概率分布，并计算信源符号熵和单字符Huffman码表，从而将对应符号进行编码。

信息论与编码课程设计：基于概率论与编码熵值计算-Information Theory and Coding Course Design: Based on probability theory and calculation of entropy coding

香农编码的C语言实现。任意输入一信源概率，可以计算出对应的码长，码字，信源熵，编码效率等。-Shannon coding in C language. Enter an arbitrary source probabilities can be calculated for the corresponding code length, code words, the source entropy coding efficiency.

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