sanjiao

自适应滤波器的最小均方误差算法的实现（使用MATLAB），用于system identification和noise cancellation.(MATLAB minimum mean square error of the adaptive filter algorithm for system identification and noise cancellation.)

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 )

基于混沌的JPG图像加密系统，使用MATLAB实现的，带界面，适用于课程设计(JPG image encryption based on chaotic system using MATLAB to achieve, with the interface for curriculum design)

eQUAL AREA CRITERION

基于MATLAB的光伏电池仿真的通用光伏电池封装模型(MATLAB-based simulation of the photovoltaic cells of common photovoltaic cells package model)

核密度估计，用于识别和核密度计算，采用高斯插样。(kernel density evalue.it is used for statistical pattern recognition.)

siso simo miso mimo系统的比较 容量 天线数目 概率分布( Compare siso simo miso mimo system The number of antennas probability distribution capacity)

永磁同步电机矢量控制的matlab仿真，测试波形完全正确(The permanent magnet synchronous motor vector control of matlab simulation, test waveforms completely correct)

wood_berry蒸馏塔的PID控制，使用matlab编程实现。(wood_berry distillation column PID control, the use of matlab programming.)

Noise Detection (Microphone volume level) - Windows Phone Silverlight.zip MSDN源代码(Noise Detection (Microphone volume level)- Windows Phone Silverlight.zip)