毕设使用的相关分析过程分析源程序

说明：  可以转动的风扇:rotx_.m,roty_.m,rotz_.m为旋转函数，在命令窗口调用fan_rot.m即可获得动态的旋转风扇的图形。(can turn on the fans : rotx_.m, roty_.m, rotz_.m for rotation function, called the order window fan_rot.m Get rotating fan dynamic graphics.)

支票印鉴图的R、G、B三个分量的显示图像并将RGB图转换为灰度图像(Check seal map R, G, B three components of the display image was converted to grayscale and RGB images)

slam simulation for robot cartoggraphy and mapping with out external sensors

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 )

针对NL-Mreans算法运算时间较长的问题，提出了优化，大大缩短了时间。(To solve the problem of long operation time of NL-Means algorithm, an optimization method is proposed, which greatly shortens the time.)

说明：  配网系统中的无功功率 优化，粒子群算法，Matlab(Reactive power optimization, particle swarm optimization, matlab)

基于T-S模糊模型的非线性系统控制与设计教材 希望对大家有帮助(fuzzy control systems design and analysis)

说明：  适用于电化学噪声的HHT变换，求解边际谱和绘图(It is suitable for HHT transformation of electrochemical noise, marginal spectrum and mapping)

经典的灰度共生矩阵纹理计算方法，仿真效率很高的，有CDF三角函数曲线/三维曲线图，matlab编写的元胞自动机，计算多重分形非趋势波动分析matlab程序,实现了图像的灰度化并进一步用于视频监视控。

机械设计Matlab实现,如连杆机构的结构设计，槽轮机构的机构设计(Mechanical design and Matlab implementation, such as the linkage structure of grooved wheel mechanism design, mechanism design)