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说明：  kalman滤波基本程序框架并针对匀速直线目标跟踪(kalman filter and the basic procedural framework for the uniform straight line tracking)

卡尔曼滤波程序的滤波程序分手那疯了数据分类开始的杰弗里斯(kalman filter)

These are knn algorithm documentations...

matlab检测直线交点源程序在matlab6.5下已调试通过(Matlab line detection of the source matlab6.5 Nodal has been under debugging through)

Application de la commande Neuronale

对于具有关心的机械，采用2次函数进行预测，然后采用估计反求其合理值点(first we predict the possible velocity and then reverse the time and valuse by quadratic function)

迭代学习similink 闭环PD型多输入多输出迭代学习控制，双入双出(ILC SIMULINK two input two output.)

VC中调用Matlab测试代码混合编程 对于学习VC和MATLAB 很有帮助(VC call Matlab test code mixed programming learning VC and MATLAB helpful)

关于面部的图像资料,可以作为用于面部识别的训练集和识别样本(On the face of the image data can be used as training set for face recognition and identification of samples)

利用夹角余弦距离进行样本数据分类。实现步骤主要分为以下两部分：a、待测样品X与训练集里每个样品Xi的距离采用夹角余弦距离公式计算。b、循环计算待测样品和训练集中各已知样品之间的距离，找出距离待测样品最近的已知样品，该已知样品的类别就是待测样品的类别。(Using the sample data classification Angle cosine distance.Implementation steps are divided into the following two parts: a, sample under test with each of the samples in the training set X Xi distance using the included Angle cosine distance formula.B, loop calculation under test samples and the distance between the known samples training focus, find out the known closest to the sample under test samples, the samples of known category is the category of the sample under test.)