UPFCsimulink1

说明：  用matlab完成基于最小错误率的贝叶斯分类器的设计(Done with matlab error rate based on the minimum design of Bayesian classifier)

信道编码仿真用matlab实现的北邮小学期(Channel coding simulation using matlab to achieve the primary period BUPT)

this code filter the band using matlab program

详细介绍MATLAB应用，以解决各种问题，涉及各专业领域。(Details MATLAB application)

读取SAC格式天然地震数据，可以先读取158字节道头，并且输出NPTS（数字字母码格式），然后开始读取地震数据(Read SAC natural seismic data format that can be read 158 bytes road head, and the output NPTS (alphanumeric format), and then start reading the seismic data)

判断一个函数的零点位置与各点正负，可输出效果图(A function to determine the position of each point of plus or minus zero, output renderings)

一些常用的matlab函数命令，需要用的时候可以方便查看(Matlab function of some commonly used commands, you need to use when you can easily see)

这是关于数字预失真的仿真程序，应用LMS急降方法实现系数更新，对失真有很好的效果(This is the digital predistortion simulation program, the drop of the LMS coefficient update method implementation, have a good effect on the distortion)

产生随机导频信号的程序 能利用此基本的来帮助进行复杂的编程(Generate random pilot signal)

利用SVM做回归线性测试。对于大盘指数的有效预测可以从整体上观测股市的变化提供强有力的信息，所以对上证指数的预测很有意义。通过对上证指数从1990.12.20-2009.08.19每日的开盘数进行回归分析，最终拟合的结果是：均方误差MSE=2.35705 e-005，平方相关系数 R=99.9195 。SVM的拟合结果还是比较理想的。(Make use of SVM linear regression testing. For the market index can predict the observed changes in the stock market as a whole to provide a strong information, so it makes sense to predict the Shanghai index. Through the Shanghai Composite Index opened daily from 1990.12.20-2009.08.19 number of regression analysis, the results of the final fit are: mean square error MSE = 2.35705 e-005, the square of the correlation coefficient R = 99.9195 . SVM fitting result is quite satisfactory.)