NPC_PWM

实现SAR 的二维线性调频信号仿真，方位向、距离向都是LFM信号，脉冲压缩是用时域卷积实现的！(Two-dimensional realization of SAR chirp signal simulation, the azimuth, distance to all LFM signal, pulse compression is achieved using time-domain convolution!)

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. )

mahafaz的用matlab分析和设计雷达系统1书的源码(mahafaz use matlab analysis and design of radar systems, one book source)

说明：  一种粒子群混合算法优化源程序,这是一个MATLAB语言编制的源程序,很实用.(A hybrid particle swarm optimization algorithm source code, which is a source MATLAB language, it is practical.)

3A rational design of a digital shearlet transform 2010-Donoho-Kutyniok-Shahram-Zhuang-SampTA

TDOA定位算法(TDOA position)

利用二阶最小化，实现射影变形下的目标跟踪，windows下版本。(Minimize the use of second-order to achieve the objectives under the projective deformation tracking, windows version of.)

pid控制程序，基于matlab环境开发，开自行修改(matlab)

MATLAB基础！！！！！！！！！！！！！！！！！！！！！！！！！！！(MATLAB Fundamentals! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !)

有关分布估计算法的一篇论文，在强化学习上提出了一些理论，对于分布估计算法的性能有一定的提升(Paper on estimation of distribution algorithms in reinforcement learning theory, certain to enhance performance for estimation of distribution algorithms)