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the_min_cost
本程序用来求有向网络中的最大流和最小费用的问题。这里最小费用是在可能有多个最大流的基础上优化得到的。故前提条件是最大流，如果没有没有最大流，可以不运输，成本为0，那就没有意义了。(This program used to beg for the maximum flow to the network and the minimum cost.
Here is the minimum cost in May have multiple maximum flow based on optimization get.
So premise condition is maximum flow, if no no maximum flow, can not transport, the cost of 0, that is no sense.
)
- 2010-12-03 19:41:13下载
- 积分：1
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BCH-coding-
PCH coding 编码仿真 ， matlab 实现(PCH code simulation, matlab implementation)
- 2011-05-27 14:55:28下载
- 积分：1
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pattern-recognizer
article of pattern recognizer
- 2013-11-30 12:44:20下载
- 积分：1
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Tracking
edited the face tracking example using klt to use my facial feature points
The original inbuilt example that comes with matlab can edited usin
- 2014-09-29 14:41:14下载
- 积分：1
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KNN
matlab code for PDF estimation by KNN method for 1 dimensional and 2 dimensional data
- 2010-01-13 15:44:54下载
- 积分：1
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raised_cosine_filter
Root raised cosine filter implementation in matlab, with graphs of impulse and frequency response.
- 2011-11-04 20:13:20下载
- 积分：1
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Vector-programming-OPF
矢量编程潮流及最优潮流数据文件，包含数据格式，标准算例等(Vector programming trends and optimal power flow data file that contains data formats, standards and other examples)
- 2016-03-08 18:29:38下载
- 积分：1
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matlab_fwa
烟花算法程序，包括爆炸算子，高斯火花，映射规则，寻优策略(Fireworks algorithm program, including the explosion operator, Gaussian sparks, mapping rules, optimization strategy)
- 2017-08-24 14:17:34下载
- 积分：1
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amvc
关于异步电机的矢量控制建模仿真（附有相关的文章）(Simulation for Asynchronous Motor Vector Control)
- 2013-05-06 19:38:28下载
- 积分：1
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kl
说明： （1）应用9×9的窗口对上述图象进行随机抽样，共抽样200块子图象；
（2）将所有子图象按列相接变成一个81维的行向量；
（3）对所有200个行向量进行KL变换，求出其对应的协方差矩阵的特征向量和特征值，按降序排列特征值以及所对应的特征向量；
（4）选择前40个最大特征值所对应的特征向量作为主元，将原图象块向这40个特征向量上投影，所获得的投影系数就是这个子块的特征向量。
（5）求出所有子块的特征向量。
((1) the application of 9 × 9 window of these images at random, a total sample of 200 sub-image (2) all sub-images according to out-phase into a 81-dimensional row vector (3) all 200 lines for KL transform vector, derived its corresponding covariance matrix of eigenvectors and eigenvalues, in descending order by eigenvalue and the corresponding eigenvector (4) a choice to 40 corresponding to the largest eigenvalue eigenvector as the PCA, the original image block to the 40 feature vectors on the projection, the projection coefficients obtained by this sub-block eigenvector. (5) calculated for all sub-block eigenvector.)
- 2007-08-07 18:04:13下载
- 积分：1
