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face detection and face recognition system .a test code for reasercher

支持向量机的MATLAB源代码，大家可以参考参考，有什么意见可以和我交流。(SVM MATLAB source code, everyone can refer to the reference, what can I exchange views.)

MATLAB CODE FOR PYTHON

模拟大学物理干涉现象，单色光和多色光都有，现象明显。(Analog University physical interference phenomenon, monochromatic and polychromatic light has obvious.)

md1 source code files

在MATLAB里面搭建的风力发电模型，通过控制模拟风力发电(Power system three-machine nine-node model, simulation based on module construction, simulink)

TD-SCDMA标准的系统仿真，注意运行的时候要一个一个运行，不能换顺序，我觉得写得很好的代码(TD-SCDMA standard for system simulation, a time to pay attention to running a run, can not change the order, I think well-written code)

AdaBoost元算法属于boosting系统融合方法中最流行的一种，说白了就是一种串行训练并且最后加权累加的系统融合方法。 具体的流程是：每一个训练样例都赋予相同的权重，并且权重满足归一化，经过第一个分类器分类之后， 计算第一个分类器的权重alpha值，并且更新每一个训练样例的权重，然后再进行第二个分类器的训练，相同的方法....... 直到错误率为0或者达到指定的训练轮数，其中最后预测的标签计算是各系统*alpha的加权和，然后sign（预测值）。 可以看出，训练流程是串行的，并且训练样例的权重是一直在变化的，分错的样本的权重不断加大，正确的样本的权重不断减小。 AdaBoost元算法是boosting中流行的一种，还有其他的系统融合的方法，比如bagging方法以及随机森林。 对于非均衡样本的处理，一般可以通过欠抽样(undersampling)或者过抽样(oversampling)，欠抽样是削减样本的数目， 过抽样是重复的选取某些样本，最好的方法是两种进行结合的方法。 同时可以通过删除离决策边界比较远的样例。 (AdaBoost boosting systems dollar fusion algorithm is the most popular one, it plainly systems integration approach is a serial train and final weighted cumulative. Specific process is: Each training example is given equal weight, and the weights satisfy normalization, after the first classifiers after Calculating a first classifier weights alpha value for each sample and updates right weight training, and then the second classifier training, the same way ....... 0, or until the specified error rate training rounds, wherein the label is the calculation of the final prediction system* alpha weighted and then sign (predicted value). As can be seen, the training process is serial, and weight training examples is always changing, the right of the wrong sample weight continued to increase, the right to correct sample weight decreasing. AdaBoost algorithm is an element, as well as other methods of boosting popular systems integration, such as bagging and random forest method. For )

是关于空时编码的nrs ，给出了Matlab程序实现，希望有借鉴意义。 (on space-time coding nrs given Matlab program, with the hope of reference.)

说明：  OFDM中schmidl 的定时同步算法，包含不同信噪比下的性能(Schmidl in the OFDM timing synchronization algorithm, including the performance under different signal to noise ratio)