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说明：  AppWizard has created this AE application for you. This application not only demonstrates the basics of using the Microsoft Foundation classes but is also a starting point for writing your application.

This something that people never understand , SAMA PERSIS BUAT AMBIL PROGRAM

对EMD分解的改进，消除了EMD分解过程中的模态混叠现象，可以得到更准确的IMF分量(EMD decomposition for improvement, eliminating the EMD decomposition process modal aliasing, you can get a more accurate IMF components)

#include <iostream.h> int main() { int i(0),sum(0) while (i<=100) { sum=sum+i ++i }cout<<"sum="<<sum<<endl return 0； }

潮流计算程序，初始值使用高斯赛德尔法迭代所得，具有很高的精度和求解效率。(Flow calculation procedures, the initial value of iteration proceeds using high Sisaideer method with high accuracy and solution efficiency.)

数字水印源码，基于matlab的，可实现，共同分享。(Digital watermarking source code, based on the matlab can be realized.)

利用matlab进行频域低通和带通滤波,效果不错(Frequency domain using matlab low-pass and band-pass filtering)

粒子群优化算法（PSO）是一种进化计算技术（evolutionary computation）,由Eberhart博士和kennedy博士于1995年提出 (Kennedy J，Eberhart R． Particle swarm optimization．Proceedings of the IEEE International Conference on Neural Networks．1995．1942~1948.)。源于对鸟群捕食的行为研究。粒子群优化算法的基本思想是通过群体中个体之间的协作和信息共享来寻找最优解． (Particle Swarm Optimization (PSO) is an evolutionary computation techniques (evolutionary co mputation) by Dr. Eberhart and kennedy Dr. raised in 1995 (Kennedy, J., Eberhart R. Particle swarm optimization.Proc eedings of the IEEE International Conference o n Neural Networks.1995.1942 ~ 1948.) . From the flock of the predatory behavior. PSO algorithm is the basic idea of individual groups through the sharing of information and collaboration to find the optimal solution.)

说明：  材料力学中不同梁（简支梁、悬臂梁）受力分析计算程序(Mechanics of materials with different beam (Charpy, Izod) stress analysis calculation program)

说明：  大模型的采样点时间波场图。还是先前的大模型，这次采用了十个检波器记录数据。通过修改常量可以达到修改检波器数目的目的。C源程序，MATLAB绘图。(Large model sampling time to wave field map. Is a large model of the previous, this time using 10 detectors record data. Constant change can be achieved by modifying the detector number of purposes. C source code, MATLAB graphics.)