uca

霍夫变换程序，可以改成目标跟踪程序，用于目标跟踪，可以直接用……(Hough transform, can be changed to target tracking procedures for target tracking, can be directly used ...)

无刷直流电机M文件程序，这是从其他论坛上面找到的，很不容易啊(Brushless DC motor M File program, which is found above from other forums, it is not easy)

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 )

用水平集做的 MRI大脑图像分割 内有用法说明 （带图形界面）-是学生做毕业设计的时候，应该可以参考下的(To do with the level set in the MRI brain image segmentation has usage instructions (with graphical interface)- is designed for students to do graduate, it should be able to refer to the)

the file is the algorithm used for the color based seganography with multiple compression algorithms

说明：  无人驾驶汽车是智能汽车的一种，也称为轮式移动机器人，(Vehicular automation involves the use of mechatronics, artificial intelligence, and multi-agent system to assist a vehicle's operator.)

计算球形的RCS，包括了精确算法以及物理光学法的对比(similation for rcs of matlab)

自己編寫的matlab代碼，實現fft函數及ifft函數功能(I have written matlab code to achieve the original fft function and the ifft function)

用matlab实现的固体模型，绕地球飞行的活动物体。(Using matlab realize solid model, the activities around the world flying objects.)

Matching pursuit algorithm