variable_stiffness_element

说明：  简单的实现了weiner滤波的功能，可以用于信号处理，可以用(Simple implementation of the weiner filtering function can be used for signal processing)

说明：  gmsk调制解调程序，利用matlab进行仿真，通信类设计可用(gmsk modulation and demodulation process, using matlab simulation, Communications design available)

ADHOC networks introduced a AODV protocol comparison article, including source code and performance analysis,

Review chapter about robotics

此源码是关于TS模糊神经网络的matlab源代码，已经运行过。(This source is on TS fuzzy neural network matlab source code, has been run over.)

说明：  基于matlab的一些三维场景建模代码，个人学习使用。(Some 3D scene modeling code based on MATLAB, personal learning to use.)

C/C++中调用MATLAB引擎的数值仿真的实现，运行环境：VC＋＋6、matlab6 注意事项：微分方程文件“fun.m”放在matlab的work目录下。(C/C++ Call the MATLAB engine numerical simulation of the realization of operating environment: VC 6, matlab6 Notes: Differential Equations document )

围绕粒子群的当前质心对粒子群重新初始化.这样，每个粒子在随后的迭代中将在新的位置带着粒子在上次搜索中获得的“运动惯性”（wvi）向Pi，Pg的方向前进，从而可以在粒子群的运动过程中获得新的位置，增加求得更优解的机会.随着迭代的继续，经过变异的粒子群又将趋向于同一点，当粒子群收敛到一定程度时又进行下一次变异，如此反复，直到迭代结束.(particle swarm around the center of mass of the current PSO reinitialization. Thus, Each particle in the next iteration will be in the new location with particles in the last search was the "inertia" (wvi ) Pi, Pg orientation, and thus can PSO course of the campaign was a new position, increase seek better solutions opportunities. With the continued iteration, after variation of PSO will tend to the same point. When PSO converge to a certain extent when the next variation, so repeatedly, until the end of iteration.)

验模态分解（Empirical Mode Decomposition,简称EMD）是一种自适应信号分解方法,主要应用于非线性非平稳的信号。整体平均经验模态分解（Ensemble Empirical Mode Decomposition,简称EEMD）解决了EMD中出现的模态混合问题。(Ensemble Empirical Mode Decomposition)

说明：  matlab的几个文件算法能实现图像分割，例如分水岭算法等,区域生长法等。(It can realize image segmentation, such as watershed algorithm and so on.)