ergodic-capacity

说明：  电机的PID控制，运行在matlab环境下，请下载。(PID motor control, to run in matlab environment, please download.)

图像配准。主要用于手术导航系统中的图片配准。(Registration)

在过阻尼情况下，典型二阶系统有两个相异的实数极点，其阶跃响应实际上是两个一阶系统响应的叠加。（ωn＝5），不断增大ζ值，观察每个ζ值下两个实数极点间的距离；同时绘出两个实数极点分别对应的一阶系统响应和二阶系统的响应，观察它们间的关系(In the overdamped case, the typical second-order system has two distinct real poles, and its step response is actually the superposition of the two first-order system response. (Wn = 5), increasing zeta values​ ​ , observing the distance between the two real poles each zeta value draw two real poles, respectively, corresponding to a first-order system response and the response of the second-order system, observe them relationship)

Adaptive Filter_Simon Haykin_Matlab_code VBLAST

说明：  一个不错的MATLAB算法 主要对apolloeq函数进行绘图(a good MATLAB algorithm for the main function mapping apolloeq)

是一个时变AR(Time Varying Autoregressive)模型的工具箱。(It is a toolbox for model of Time-Varying Autoregressive.)

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 )

tHIS is e Source code Fingerprint with meThode verification and Identification

一个kalman滤波的仿真程序，仿真的是雷达探测飞机的飞行轨迹，里面的word文档说的比较详细了。(A kalman filter simulation procedures, simulation of the plane are radar flight path, inside the word document that has more detailed.)

ICALAB for Signal Processing Toolbox for ICA, BSS, BSE