Control-Assignment---Introduction-to-wind-energy-

信道估计程序，ieee发表的文章对应的原码，本人已经验证，可以使用。(Channel estimation procedures, ieee post corresponding to the original code, I have verified that you can use.)

simulation psk, simulation source, there are descriptions and explanations related to procedures and functions are.

nurbs曲线在MATLAB中的实现，绘制(nurbs curve)

BENDERS分解算法，用来求解MIPS，即混合整数线性规划问题。我已经做了注释。(Benders decomposition of solving MIPS problem, which is mixed integer linear programming, I have done Notes)

说明：  在mathworks公司上找到的很好的资料，内有ppt和完整的可运行程序。(Found on the company in mathworks good information and complete within the ppt can run the program.)

说明：  This program do bitplane slicing to embed watermark binary image in the least significant plane.Watermark is recovered even in presence of noise

训练错误率和交叉验证错误率相等，在样本比较大时，这个结果是可以预期的；训练错误率一般低于测试错误率，但是当样本数据比较少时，实验也出现了意外，样本多的那组测试错误率比样本少的训练错误率还要小；在本实验中，同组数据的交叉验证错误率比独立测试错误率高，这个反常现象是因为样本的原因所致，交叉验证的样本小，而独立测试时所用训练样本数目大，因而出现这种情况。分类线上，fisher准则是一条直线，而贝叶斯分类器实际上是一个类似椭圆的封闭曲线；很明显，贝叶斯分类器比fisher分类器要好。(Training error rate and cross- validation error rates are equal, the larger the sample , this result is to be expected training error rate is generally lower than the test error rate , but when comparing the sample data came from the experiment there was an accident, that more samples group test error rate less than the training sample error rate is smaller In this experiment, the same set of data cross-validation error rate than independent test error rate, this anomaly is because the sample of reasons , cross-validation sample is small,And independent testing large number of training samples used , resulting in this situation.Classification online , fisher criterion is a straight line , while the Bayesian classifier is actually a closed curve similar to elliptical It is clear that the Bayesian classifier is better than the fisher classifier .)

支持向量机的MATLAB实现，能自动完成数据的分类功能。(MATLAB support vector machines to achieve, can auto-complete the classification of functional data.)

using the perspective projection to obtained my algorithm

《高等光学仿真》书中1-6章题例的matlab源程序，分享一下(share the Matlab source codes of the problems in Advanced optical simulation book .)