pcf-parameter

MSSESPRIT s matlab program(MSSesprit s matlab program)

Ctmsim For Matlab 来自Mathwork官网，统计仿真工具，2014MCM A(Ctmsim For Matlab)

icp算法源代码，主要用于点云拼合，是基于matlab上编写的,实现两个点云数据的对准(ICP algorithm source code, mainly used for point cloud registration, is prepared based on MATLAB, the realization of the two point cloud data alignment )

毕业设计中，用Matlab实现了机器人最优路径规划中的全局路径规划，算法采用的是基于方向权的 RPIjWY 二叉树算法，同时结合了哈夫曼编码二叉树的 JCCUmxQ综合。(Graduation design, using Matlab to achieve the optimal path planning of robot global path planning algorithm uses a binary tree algorithm based on the direction of the right RPIjWY , combined with the binary tree Huffman coding JCCUmxQ comprehensive.)

这是我多年MATLAB编程的技巧汇总，希望对大家有用。里面包含命名规则，怎样优化程序等等。(This is my years of MATLAB programming skills summary, I hope useful for everyone. Which contains the naming rules, how to optimize procedures.)

Making Curve in Matlab

一种基于压缩感知的正弦信号重构算法，已经经过仿真验证(A sinusoidal signal reconstruction algorithm based on compressed sensing has been verified through simulation)

本程序包含压缩感知的几种经典重构算法：BP、OMP、MP等，通过matlab实现。(The program includes several classic compressed sensing reconstruction algorithm: BP, OMP, MP, etc., through the matlab implementation.)

the submitted document is a series of files haaving codes for ber curves

汽车高斯曲面拟合 --- 2程序，以适应到表面二维高斯： 子= A *的进出口（ -（（西为X0）^2/2/sigmax^2 +（艺Y0的）^2/2/sigmay^ 2）。。）+ b的 这些例程是自动在某种意义上说，他们并不需要出发对模型参数的猜测规范。 autoGaussianSurfML（十一，彝，子）适合通过对模型参数的最大似然（最小二乘）。它首先计算了该模型在许多可能的参数值，然后选择最佳质量设置和细化与lsqcurvefit它。 autoGaussianSurfGS（十一，彝，紫）的估计，通过指定数据的贝叶斯生成模型，然后采取通过从模型吉布斯抽样样本后ofthis模型参数。这种(Auto Gaussian Surface fit --- 2 routines to fit a 2D Gaussian to a surface: zi = a*exp(-((xi-x0).^2/2/sigmax^2+ (yi-y0).^2/2/sigmay^2))+ b The routines are automatic in the sense that they do not require the specification of starting guesses for the model parameters. autoGaussianSurfML(xi,yi,zi) fits the model parameters through maximum likelihood(least-squares). It first evaluates the quality of the model at many possible values of the parameters then chooses the best set and refines it with lsqcurvefit. autoGaussianSurfGS(xi,yi,zi) estimates the model parameters by specifying a Bayesian generative model for the data, then taking samples from the posterior ofthis model through Gibbs sampling. This method is insensitive to local minimain posterior and gives meaningful error bars (Bayesian confidence intervals))