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MATLAB HHT(希尔伯特变换)工具箱(matlab HHT toolbox lib)

说明：  CST MATLAB 联合仿真超材料开口谐振环单元(CST matlab joint simulation of open resonance ring element of super material)

这是一个简单的FFT为无电位1 +1 +1 Ð 薛定谔方程的光束传播方法。如果该软件灵活，允许引入的术语（如果是极少数需要包括色散效应高阶导数）。例如，如果一个人渴望解决的一个方程的形式： （四/ dz的+ Ð ^ 2/dx ^ 2 - 0.25 * Ð ^ 3/dx ^ 3）== 0 Ÿ 它可以解决使用以下代码： Ž = linspace（0,1,512） x = linspace（-5,5,1024） psi0 =进出口（- x的。^ 2） Ð = D_lateral1D（十，2）-0.25 * D_lateral1D（十，3） 字段= LinearBPM（psi0，有D，Z） 凡D_lateral1D是一个函数，提供“取代”的微分算子。 这个函数是在一个非线性的BPM，我曾对（分步，谱方法等），将提交给我，当我完成他们的文件和组织功能更复杂的设置非常初期阶段。 (This is a simple FFT based beam propagation method for potential-free 1+1+1D Schrodinger equation. The software if flexible and allows to introduce high-order derivatives in the term (very handful if is needed to include dispersion effects). For example, if one desires to solve an equation in the form: (d/dz+ d^2/dx^2- 0.25*d^3/dx^3)Y == 0 It can be solved using the following code: z=linspace(0,1,512) x=linspace(-5,5,1024) psi0=exp(-x.^2) D=D_lateral1D(x,2)-0.25*D_lateral1D(x,3) field=LinearBPM(psi0,D,z) Where D_lateral1D is a provided function that "replaces" the derivative operator. This function is a very early stage in a more complex set of non-linear BPM functions that I have made (split-step, spectral methods, etc.) and I will submit them when I finish their documentation and organization. Sorry for my English, I m eager for your comments. )

合成孔径雷达，距离多普勒算法下的，简单点目标欺骗干扰,matlab仿真程序。(Range_Dopplor algorithm of deception jamming about Synthetic Aperture Radar. )

matlab入门经典教程--百看不厌1.rar(Getting Started tutorial matlab classic- never lost their appeal 1.rar)

a function to calculate Curvature in 2D curve

图像复原MATLAB源码，直接运行即可，内附使用说明（英文）(Image restoration MATLAB source code, can be run directly, enclosing instructions (English))

针对频率周期振荡的振动系统讨论自适应控制问题,在频率跟踪的基础上对频率变化的振动响应进行控 制,给出相应的估计、滤波与控制方法。首先在子空间辨识原理的基础上,通过测量信号自相关序列的递推运算获得信号 频率 然后根据估计频率实时调整带通滤波器的中心频率,使其跟踪信号频率,实现信号分量的跟踪滤波 最后在LMS方 法的基础上构造对信号分量进行控制的自适应控制器。(The adaptive vibration control of systems excited by forces of periodically varying frequencieswas dis- cussed. The presented adaptive controlwas realized on the basis of tracking of time-varying frequencies and amethod for online frequency estimation, filtering and controlwas proposed. Based on the principle of subspace identification, the time-varying frequencieswere estimated from the recursively computed autocorrelation ofmeasured signals. )

说明：  模糊C-均值聚类方法的原函数，不用再进行编写，直接可以哄(the function of FUZZY C CLUSTERING )

Lyapunov exponent for time seires.