RADAR-simulation-code

matlab code for run the algorithm of Locality Preserving Projection

Matlab版的支持向量机函数，其中包含支持向量机的选择方法，交叉检验等方法。(Matlab version of the package of support vector machine, which contains a selection method for support vector machines, cross-examination and other methods.)

Particle Filtering for Sequential Spacecraft Attitude Estimation 卫星姿态估计的另外一种粒子滤波的介绍(Particle Filtering for Sequential Spacecraft Attitude Estimation for Satellite Attitude estimated another particle filter introduction)

针对当前存在的大量数值型数据，将连续型数据离散化，有利于计算机直接处理变量。(In view of the existence of a large number of numerical data, the discretization of continuous data is conducive to deal directly with the variable computer.)

移动最小二乘法效果的估计，很好的内容，可以参考(Moving Least Squares estimates of the effects, good content, you can refer to)

改程序包可以进行字旋转链和量子寄存器建模等。(this program package helps modeling spin chains, qubit registers, etc. according to nonrelativistic quantum mechanics and some novel ideas from quantum information theory.)

电压空间矢量调制的M语言实现，单个文件实现很方便，已经通过验证(Voltage space vector modulation of the M language, very easy to achieve a single file has been validated)

爱尔兰B、爱尔兰C、D算法、F算法 仿真程序(ElangB、ElangC、D、F algorithm Simulation)

说明：  一种改进的DE算法，来自文献“JADE: Adaptive Differential Evolution with Optional External Archive”(JADE: Adaptive Differential Evolution with Optional External Archive)

实验一：三次样条插值（P56，例6） 一、实验目的： 1) 掌握三次样条插值的运用 2) 了解拉格朗日插值在高次上的误差 二、实验环境：Matlab6.5 三、实验内容： 1) 给定函数f(x)=1/(1+x2)，-5<=x<=5，节点xk=-5+k，(k=0,1,2…10)，用三次样条插值求S10(x)，S10’(-5)=f’(-5)，S10’(5)=f’(5)。 2）作原函数f(x)，拉格朗日插值函数Ln(x)，三次样条差值函数Sn(x)。画出三个函数的图像，比较它们的区别。 (Experiment I: cubic spline interpolation (P56, cases of 6) First, the experiment was: 1) cubic spline interpolation to master the use of 2) understanding of Lagrange interpolation in high-error second, experimental environment: Matlab6 .5 c, experimental elements: 1) a given function f (x) = 1/(1+ x2),-5 <= x <= 5, node xk =- 5+ k, (k = 0,1,2 ... 10), using cubic spline interpolation for S10 (x), S10 (-5) = f (-5), S10 (5) = f (5). 2) for the original function f (x), the Lagrange interpolation function Ln (x), cubic spline difference function Sn (x). Draw the three functions of images, compare the difference between them.)