M-S-E

extreme learning machine 例子 run sinc_mean (extreme learning machine examples run sinc_mean)

机场流量预测与分析，用于分析与控制机场客运货运流量(The airport flow projections and analysis, for analysis and control of airport passenger and cargo traffic)

OFDM记忆多项式功率放大器模型。能够精确的完成对功率放大器的建模，无任何错误。(To achieve the wiener model pre-distortion, the effect is very good, the program checked for any errors)

导入统计套利品种的计算过的残差（要平稳）命名为resid文件，残差低于两个标准差买入，高于两个标准差卖出，计算买入和卖出点、次数以及收益，比较简单的一个小程序。(Calculation of statistical arbitrage varieties imported over residuals (to smooth) file named resid residuals less than two standard deviations to buy, sell higher than two standard deviations to calculate buy and sell points, the number and income , a relatively simple applet.)

卷积码（2,1,7）编码和4比特电平量化(（2,1,7）encoder)

分别用改进的Euler方法和四阶Runge-Kutta方法求解。 (Were improved Euler method and fourth-order Runge-Kutta method.)

open-loop buck converter which is operate in CCM.

利用ICE对图像进行亮度和颜色的调整，可以在图片上对想要进行滤波处理的部分直接进行选择。(Use ICE to adjust the image brightness and color can be in the picture on the part you want to filter processing directly to it.)

混沌理论计算 互信息计算最佳延迟时间，保证可以运行(Mutual information to calculate the optimal delay time to ensure that you can run)

基于MATLAB的振动信号的KAISER滤波与频谱分析,可用于加速度传感器信号(based on MATLAB KAISER vibration signal filtering and spectrum analysis, acceleration sensor can be used for signal)