MatlabIdentification

一个详细的MIMO编程，包含各种衰落模型，运用空时网格码实现。(MIMO a detailed program includes a variety of fading model, the use of space-time trellis code to achieve.)

Sinusoidal and Space Vector Pulse Width Modulation for Inverter

基于多相结构的信道化接收机，合成孔径雷达（SAR)目标成像仿真，cordic算法的matlab仿真。( Channelized receiver based on multi-phase structure, Synthetic Aperture Radar (SAR) imaging simulation target, cordic matlab simulation algorithm.)

回归分析的matlab实现(Regression analysis matlab realize)

design cycloconverter 1/3 phase

啁啾脉冲对传输特性的影响，用MATLAB实现可视化(chirp pulse)

菜单的仿真，通过修改菜单可以修改自己需要修改的参数，例如PID(Simulation menu, the menu can be modified by modifying the need to modify the parameters of their own, such as PID)

说明：  包含单相光伏逆变器及最大功率点跟踪，可以实现电流内环及电压外环控制(Including single-phase photovoltaic inverter and maximum power point tracking, can achieve current inner loop and voltage outer loop control)

自己设计的一个模糊逻辑控制器，利用simulink模块进行仿真。 请注意在仿真之前先在matlab command window里输入 load fuzzy.dis 进行预读取(Own design a fuzzy logic controller using simulink simulation module. Please note that the first input load fuzzy.dis before simulation in matlab command window in the pre-read)

训练错误率和交叉验证错误率相等，在样本比较大时，这个结果是可以预期的；训练错误率一般低于测试错误率，但是当样本数据比较少时，实验也出现了意外，样本多的那组测试错误率比样本少的训练错误率还要小；在本实验中，同组数据的交叉验证错误率比独立测试错误率高，这个反常现象是因为样本的原因所致，交叉验证的样本小，而独立测试时所用训练样本数目大，因而出现这种情况。分类线上，fisher准则是一条直线，而贝叶斯分类器实际上是一个类似椭圆的封闭曲线；很明显，贝叶斯分类器比fisher分类器要好。(Training error rate and cross- validation error rates are equal, the larger the sample , this result is to be expected training error rate is generally lower than the test error rate , but when comparing the sample data came from the experiment there was an accident, that more samples group test error rate less than the training sample error rate is smaller In this experiment, the same set of data cross-validation error rate than independent test error rate, this anomaly is because the sample of reasons , cross-validation sample is small,And independent testing large number of training samples used , resulting in this situation.Classification online , fisher criterion is a straight line , while the Bayesian classifier is actually a closed curve similar to elliptical It is clear that the Bayesian classifier is better than the fisher classifier .)