Entropy coding (entropy encoding) is a kind of use data of statistical information compression without semantic data flow of nondestructive coding. This chapter first introduces the basic concept of entropy, and then introduce Shannon- occupies (Shannon- Fano) coding, Huffman (Huffman) coding, arithmetic coding (arithmetic coding), stroke encoding (RLE) and LZW encoding used entropy coding method. Huffman encoding suggest a bit carry into integer algorithm, but this algorithm in specific cases not to achieve the best results. Therefore some improved, providing the best integer bit number. This algorithm using binary tree to set up a code. The binary tree terminal node representing the code letters, on behalf of the root node used bits. In addition to this for each to coded data to create a special form of the method and use fixed code table method. Such as join to coding data symbols appear probability accord with certain rules words can use special variable ChangBian chart. This code

熵编码源程序
............\ACDialog.cpp
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............\AC_De.h
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............\entropyCoding.vcproj.XD01.Administrator.user
............\entropyCodingDoc.cpp
............\entropyCodingDoc.h
............\entropyCodingView.cpp
............\entropyCodingView.h
............\HuffencodeDialog.cpp
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............\huff_de.h
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............\MainFrm.cpp
............\MainFrm.h
............\openfile.h
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