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自己做设计用的参数提取程序，主要是LPCC和MFCC。(Designs its own program with the parameter extraction, mainly LPCC and MFCC.)

一个简单的matlab小程序，可以用来解二元非线性方程(A simple matlab small program that can be used to solve nonlinear equations of binary)

Programa Matlab para Discrete Fourier Transformation.

阐述了S-Funtion的功能，如何使用，可以用C语言等程序编写自己的S-Funtion。扩展自己的Simulink性能。(Expound the fution of S-Funtion,and how to use it.you also can use C to make your own S-Funtion.So,you can expand the performance of Simulink.)

关于永磁同步电机系统调速的。得到的系统图形比较规范，希望对大家有帮助。(On permanent magnet synchronous motor speed control system. Graphical comparison of the resulting system specifications, we want to help.)

打开Matlab，输入代码，运行之，出结果(Open Matlab, enter the code, run it, the results)

MMA盲均衡算法，上传供交流，希望大家提供宝贵的意见(MMA blind equalization algorithm, uploads for the exchange, we hope to provide valuable advice)

matlab基础教程，malab的基础操作。(matlab Essentials the malab the underlying operating.)

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.)

Red neuronal Adaline