GA

It is 27 level asymmetrical multilevel inverter

This is a simulink program for designing Low pass and High pass ACTIVE Filters circuit.

使用matlab软件搭建出来的光伏电池放电模型，波形很理想(Using matlab software to build out solar battery discharge model is ideal waveform)

DDS(快速正交调制）生成正弦波形，利用相位累加字进行累加，查找查找表内容输出正弦数据，在通信领域应用很多，我采用的是matlab的simulink进行前期仿真(DDS (fast quadrature modulation) to generate sine wave, the use of the word to accumulate phase accumulation, content output sine lookup table lookup data in many applications in the communications field, I used to pre simulink of matlab simulation)

可用的心电信号降噪去噪matlab程序，欢迎下载！(useful matlab noise )

去噪后的性能指标计算，其中包含信噪比、均方误差以及平滑度指标。(After denoising performance index calculation, including signal-to-noise ratio, the mean square error (mse) and smoothness index. )

混沌保密通信SIMULINK建模。自己作的很好的东西。(SIMULINK modeling of chaotic secure communication. Themselves for the good things.)

提供了hopfield 的MATLAB程序，该程序简单易行，可以在MATLAB中得到应用(Introduce a program about the hopfield ,the program is easy and can be used in the program.)

Spectral Subtraction Noise reduction algorithm

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 .)