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huffmancoding
格式:[huffcodes,氢,領 ,电子] = huffmancoding(磷,氮)
%输入:p是每个字母符号的概率
(如:对= [0.3 0.2 0.2 0.2 .06 .04])
n是一个整数,决定在每个帧的符号数量
(默认:n = 1时)
%输出:huffcodes:huffmancodes
答:源熵
甲肝:平均熵编码
电子邮件:科丁效率(format : [huffcodes,H,Hav,e]=huffmancoding(p,n)
inputs: p is the probability of each alphabet symbol
( eg:p=[.3 .2 .2 .2 .06 .04] )
n is an integer that determines number of symbols at each frame
(default:n=1)
outputs: huffcodes: huffmancodes
H: source entropy
Hav: average entropy for coding
e: codding efficiency
)
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MATLAB-mingling
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emd
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Minimum Spanning Tree BY ICA
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Ising model for ferromagnetism
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svr
svr for prediction and forecasting
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The crf conditions with the airport is a classification model,(The crf conditions with the airport is a classification model)
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