casesource1

用快速ICA算法实现信号分离，两进两出，调试通过。(fast ICA algorithm signal separation, the two-two, through debugging.)

在matlab环境下的系统小波的电力系统谐波分析的M程序(In the matlab environment system of the wavelet power system harmonic analysis M program)

Matlab实现高斯建模，算法简单，亲测可用，互相学习！(The realization of Gauss modeling, Matlab algorithm is simple, dear measurement available, learn each other! )

利用常用的四阶龙格-库塔公式求初值再分别利用米尔恩公式和改进的亚当斯方法及常用的四阶龙格-库塔公式求解其余的数值解，并计算它们与精确解的误差(By use of Runge- Kutta formula and then find the initial value, respectively, and improved the formula by Milne Adams methods and commonly used Runge- Kutta formula to solve the rest of the numerical solution, and calculate their error with the exact solution)

The timing_recovery_1.mdl uses Simulinks variable step solver to create a continous time QPSK signal with both carrier and symbol rate errors. This is a relativly straight forward approach, but is computationally expensive. The sescond model, timing_recovery_2Q.mdl uses a purely discrete time approach using the same fractional sample delay approach as does the receiver. This can run much faster.

ICA(独立成分分解),可实现采集信号中源信号的分离，便于提取特征量，实现模式识别。同时由于可以将源信号分离开来，可实现信号的降噪，去掉基波、三次谐波、五次谐波等(ICA (independent component decomposition) can realize the separation of the source signals in the acquisition signal, and facilitate the extraction of the feature quantity, and realize the pattern recognition. At the same time, because the source signal can be separated, it can realize the noise reduction of signal, remove the fundamental wave, the three harmonic, the five harmonic, etc.)

Program to implement a list data structure in C++ (partial) With debug output for poor-man s animation

一本关于遗传算法在MATLAB上经典教程(study)

This is new method to estimate the johnson parameters for the johnson bounded family.this is most probably the easiestmethod to estimate johnson parameters.

说明：  经验模态分解的优化，达到更好的去燥效果。(The optimization of empirical mode decomposition can achieve better drying effect.)