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huffman
说明: huffman编码译码的实现,通过huffman编码可以达到较高的编码效率(huffman code decoding to achieve, through the huffman coding can achieve higher coding efficiency)
- 2010-04-11 13:19:51下载
- 积分:1
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GA
说明: 遗传算法在优化路径中的应用研究,MATLAB程序。
- 2012-04-21 19:47:01下载
- 积分:1
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ADE-Crank-Nicolson
对流扩散方程的Crank-Nicolson差分格式程序(Crank-Nicolson difference scheme of the convection-diffusion equation program)
- 2013-01-15 20:03:55下载
- 积分:1
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projeraporu
These are codes and result of source seperation homework
- 2014-11-06 23:21:27下载
- 积分:1
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199398d0e981
matlab explains merging of snakes
- 2013-04-20 15:46:40下载
- 积分:1
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Jackknife代码及数据
Jackknife距离的matlab实现,短小精悍,矩阵运算的小技巧。附有数据(Jackknife distance MATLAB, dapper, little skill matrix.Attached data)
- 2017-10-06 11:28:28下载
- 积分:1
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3layer_v2
三层平板介质光波导计算,该平板波导主要由3层均匀介质构成,中间的芯层折射率为n1,厚度为d,芯区生长在折射率为n2的衬底上,芯区上面的覆盖层折射率为n3。这里考虑的是n1大于n2大于n3。(Three-layer flat-plate dielectric waveguide, the flat waveguide is composed of three uniform media, the refractive index of the middle layer is n1, the thickness is d, the core area is grown on the substrate with refractive index n2, The refractive index of the layer is n3. It is considered here that n1 is greater than n2 and greater than n3.)
- 2020-10-19 02:17:26下载
- 积分:1
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mcmcstat
MCMC toolbox for Matlab
From this page you can download a set of Matlab function for some statistical MCMC analyses of mathematical models. This code might be useful to you if you are already familiar with Matlab and want to do MCMC analysis using it.
- 2010-01-09 03:15:49下载
- 积分:1
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ER
说明: ER: is the code for the Error Ratio metric performance for multi-objective optimization problems: ERtest is the code for no threshold value, whuile ERtest2 code with a thresho d value defined by the user
- 2011-04-04 03:50:57下载
- 积分:1
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code
独立主成分分析与主成分分析代码,速度比较快,而且比较好用(In these first experiments, both ICA and whitened PCA are used to compress the data, and all the components are used for classifying the examples. The classifier used is a 1-NN with Euclidean distance. The results shown in next sections are clear: when a rotational invariant classifier is used (as 1-NN with L2-norm) the classification results of FastICA/whitened PCA are equivalent, while the difference between Infomax and whitened data es significant but small)
- 2012-05-16 14:04:59下载
- 积分:1