fastMV

its the source code for face protected system

使用matlab软件编程遗传算法在不规则自由空间中的路径规划(Matlab software programming using genetic algorithms in irregular free space path planning)

gray2rgb灰度图像转换成RGB图像matlab实现(gray2rgb grayscale image is converted into a RGB image matlab implementation)

本程序是在MATLAB中对LMS均衡算法的通信仿真。(This procedure is in the MATLAB algorithm of LMS balanced communication simulation.)

该程序是基于Kalman Filter 理论编写的基本的Matlab 滤波程序！(This code is relative with the basic Kalman Filter.)

neuronal network les reseaux de neurones seront capables d apprendre d eux memes. Les reseaux de neurones sont issues de l intelligence artificielle.

说明：  非线性最小二乘法参数估计程序，利用该程序可以对已知解析解的物理过程进行参数估计，估计出线性无关的参数(Parameter estimation of nonlinear least squares method)

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 )

英文书籍，介绍自适应滤波的matlab编程(the aim of this book is to present an introduction to optimum filtering)

说明：  荣格库塔法解微分方程组，比matlab自带的ode求解命令更准确，误差更少(Rong-Kutta method for solving differential equations group' s ode to solve than the matlab command comes more accurate, less error)