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实现霍夫曼编码，根据随机概率编程霍夫曼码，有详细解释。-Huffman coding to achieve, according to random probability programming Huffman code, a detailed explanation.
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对任意概率的输入，实现2元HUFFMAN编码的MATLAB-The probability of any input to achieve two yuan HUFFMAN coding the MATLAB
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In computer science and information theory, Huffman coding is an entropy encoding algorithm used for lossless data compression. The term refers to the use of a variable-length code table for encoding a source symbol (such as a character in a file) wh
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霍夫曼编码，随机生成10个概率，和为1，用霍夫曼编码输出，采用map函数-Huffman coding, the probability of a randomly generated 10, and 1, with the Huffman code output, the use of map functions
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huffman编码生成器
函数说明：
[W,L,q]=huffman(P) 为huffman编码函数
P为信源的概率矢量，W为编码返回的码字
L为编码返回的平均码字长度，q为编码效率
-Huffman encoding generated Function Descr iption: [W, L, q] = huffman (P) P for the Huffman encoding function for the prob
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用matlab实现huffman编码。在matlab里完成统计概率、编码，统计编码效率等。-Huffman coding using matlab. Completed in matlab statistical probability, coding, statistical coding efficiency.
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The principle of Huffman coding is (roughly) to replace symbols in the original data (in your case the value of each pixel of the image) by a numeric code that is attributed according to the probability of the symbol. The most probable (i.e. the m
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哈夫曼编码(Huffman Coding)是一种编码方式，哈夫曼编码是可变字长编码(VLC)的一种。Huffman于1952年提出一种编码方法，该方法完全依据字符出现概率来构造异字头的平均长度最短的码字，有时称之为最佳编码，一般就叫作Huffman编码（有时也称为霍夫曼编码）。-Huffman coding (Huffman Coding) is an encoding, Huffman coding is a variable length coding (VLC) one. A Huffma
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Huffman于1952年提出一种编码方法，该方法完全依据字符出现概率来构造异字头的平均长度最短的码字，有时称之为最佳编码，一般就叫作Huffman编码-A Huffman coding method proposed in 1952, the occurrence probability of the method is completely based on the average length of the different characters to construct shortes
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Huffman于1952年提出一种编码方法，该方法完全依据字符出现概率来构造异字头的平均长度最短的码字，有时称之为最佳编码，一般就叫作Huffman编码-A Huffman coding method proposed in 1952, the occurrence probability of the method is completely based on the average length of the different characters to construct shortes
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基于MATLAB的例程 实现HUFFMAN编码算法 不定长编码 基于不同符号的概率分布-Variable-length coding based on the probability distribution of different symbols based on MATLAB routines to achieve HUFFMAN coding algorithm
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可输入一定的信源，从而算出信源概率及其对应的Huffman编码-Can enter a certain source, so as to calculate the probability of the source and its corresponding Huffman coding
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根据给定的信源概率分布，编程实现霍夫曼编码和二次扩展信源霍夫曼编码，并和信源的熵进行比较，体会霍夫曼编码的编码效果。(According to the given probability distribution of the source, Hoffman encoding and two extended source Hoffman coding are programmed and compared with the entropy of the source to realize th
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该方法完全依据字符出现概率来构造异字头的平均长度最短的码字，有时称之为最佳编码(Completely according to the characters in this method the probability to construct the vision "the average length of the shortest code word, sometimes called the best coding)
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huffman编码译码，出现数字概率分析等(Huffman coding and decoding, digital probability analysis, etc.)
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