ParameterEstimateandInverseProblems

自适应信号处理，最终的权值矩阵就是滤波器的系数，学习曲线描述其收敛特性(Adaptive signal processing, the final weight matrix is the filter coefficient, the learning curve to describe the convergence properties)

Matlab环境下带控制面板的低通、高通滤波器设计，参数可视化调节。(Matlab environment control panel with a low-pass and high-pass filter design parameters visualization regulation.)

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. )

matlab 蚁群算法 源程序，里面有多个m文件(ant colony algorithm matlab source code, there are several m-files)

this matlab code is useful for ranging applications where localization done using maximumum likelihood algorithm.

MIMO SDM completed in Matlab

Building GUIS with Matlab

大气模型计算，本软件可实现计算不同高度的密度、气压等参数。(Atmospheric model calculations, the software can realize a high degree of different density, pressure and other parameters.)

说明：  无差拍控制模型S函数,simulink下的模型,电力电子论文必备(Deadbeat control model S function, simulink model under, power electronics papers must)

在matlab中，实现通信中，将有用信号从噪声信号中分离出来，用到门限比较，保持，长度匹配，减低虚警概率，提高正确率(matlab threshold detaction)