bolum04

simulation of adaptive control of ipmsm motor with mras and using simulink toolbox

The code can be used for calculating the element stiffness matrix of a q-4

It computes the chaincode for a single object on one bw image. (image processing)

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 )

说明：  用遗传算法进行多元函数的优化，是测试函数与数据集的基本方法(Using genetic algorithm to optimize multivariate function is the basic method of testing function and data set)

LSP EXTRACTION BY MATLAB BASIC

matlab ，记录 麦克风输入的声音，播放保持所记录的声音。(matlab record the sound and play it)

2D particle movement in a circle domain

:数字水印技术在数字产品的版权保护中起着非常重要的作用。概括了数字水印技术的现状及其基本原理,并 分析了变换域数字水印算法的优势,详细阐述了DCT 水印嵌入和提取算法的原理和步骤。最后在Matlab 平台下对DCT 数 字水印算法进行了仿真,仿真结果证实了DCT 算法的强健性和鲁棒性。(: digital watermarking technology in the digital copyright protection products played a very important role. Summarized the digital watermarking technology and the status of the basic principles and transform domain analysis of digital watermarking algorithm advantages, elaborate on the DCT watermark embedding and extraction algorithm theory and steps. Finally in Matlab platform for DCT digital watermarking algorithm for the simulation, Simulation results confirmed the DCT are strong and robust.)

用matlab实现多元回归分析，统计学中比较重要的应用，适用于初学者(Multiple regression analysis using matlab to achieve, the more important applications of statistics for beginners)