BP-YYSB

BPSK编码译码仿真BPSK编码译码仿真BPSK编码译码仿真BPSK编码译码仿真BPSK编码译码仿真BPSK编码译码仿真(BPSK BPSK coding and decoding codec simulation simulation Simulation of BPSK coding and decoding BPSK BPSK coding and decoding codec simulation simulation Simulation of BPSK coding and decoding)

Research on Agent-Oriented Programming

说明：  用鲁棒控制方法来控制一个简单的二阶机械系统：质量块-阻尼器-弹簧系统。该系统是本科生实验教学中常见的控制实验装置。作为本书中的第一个案例，将针对该装置介绍三种控制器的详细设计方法，分析闭环系统的鲁棒稳定性和鲁棒性能。为了简化设计过程，此处仅考虑模型的结构扰动（参数扰动）。针对此例，介绍了matlab鲁棒控制工具箱（Robust Control Toolbox）一些鲁棒控制器设计指令。希望此章的学习不仅能够教授鲁棒控制系统设计方面的知识，也能够教会大家如何使用鲁棒控制工具箱。(Robust control method is used to control a simple second order mechanical system: mass damper spring system. The system is a common control experimental device in undergraduate experimental teaching. As the first case in this book, the detailed design methods of three controllers for the device are introduced, and the robust stability and robust performance of the closed-loop system are analyzed. In order to simplify the design process, only the structural disturbance (parameter disturbance) of the model is considered here. For this example, some robust controller design instructions of MATLAB robust control toolbox are introduced. I hope that this chapter can not only teach the knowledge of robust control system design, but also teach you how to use robust control toolbox.)

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 )

人工蜂群算法工具箱，可用于求解旅行商问题，以及多维数据极大值和极小值等问题(ABC algorithm,which can be uesd in many optimization field.)

结构光照明荧光显微镜图像处理方面的文章，可以看看(Structured light illumination fluorescence microscope image processing articles, you can see)

RPCA,Robust PCA，matlab(RPCA，matlab，robust pca)

包括：6机组系统的分布式梯度算法代码；基于GA的21节点无功优化；基于GA的二次型优化；matlab高级指令；依据matpower进行潮流计算中JJ矩阵的求解。(Comprising: a distributed gradient algorithm code 6 Unit System optimization based on GA 21 nodes reactive power quadratic optimization based on GA matlab advanced instruction matpower flow calculation based on the JJ matrix solver.)

基于matlab的三相桥式整流电路仿真模型的仿真(Three-phase bridge rectifier circuit simulation model)

matlab - mapping 4 bit image to 8 bit and 8 bit image to 4 bit