BCH_Matlab

说明：  扩频通信中的同步研究，基于matlab的(Synchronization of spread spectrum communication research, based on the matlab)

Spectrum and cepstrum analysis

this is matlab exercise solved

一级倒立摆的pp算法，simulink文件(An inverted pendulum pp algorithm, simulink file)

最小二乘支持向量机分类预测,基于matlab的编程，实现预测分类(Least squares support vector machine classifier prediction matlab-based programming, forecasting classification)

说明：  自学Matlab必备的60个小程序代码,若要实现其他功能可以自行改编，(Self-taught matlab 60 essential small program code, if you want to achieve other functions can be self-adapted,)

说明：  出自一本书中的解决多目标优化问题的MATLAB代码(From a book to solve multi-objective optimization problem of MATLAB code)

in this mfile i have wrote the principal component anlisys algorithm.

无源定位的一些仿真代码，TOA算法2维的线性、非线性、极大似然算法和克拉美罗下界、均方误差的代码(Passive targeting some simulation code, including when TOA Two-dimensional linear, nonlinear, maximum likelihood algorithm and Cramer-Rao lower bound, mean square error code)

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.)