CCDchengxiangzaixianjiance

适合新手看看的matlab程序，函数编程与几何运算，比较基础，附图片(for new learner )

随机性选择函数，在一组最优解中，随机概率选择目标函数值最大的解(Random selection function, the optimal solution in a group, the random probability of choosing the objective function value of the maximum of the solution)

Image retri CBIR walvet

很多基于fdtd算法的m语言源程序，主要用于初学fdtd算法的人。(Many fdtd algorithm based on m-language source code, mainly for beginners who fdtd algorithm.)

matlab MPPT仿真,定步长电导增量法，在matlab2011上验证可以使用(matlab mppt)

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))

基于高斯过程的约束谱聚类，lu zhengdong的论文cvpr08的实现代码，算法可以直接运行，其中含有两个demo(constrained spectral clustering through affinity propogation)

这是一个无线传感器网络的Rage-Free的定位算法，用matlab进行仿真实现！方便初学者参考使用！(This is a wireless sensor network, Rage-Free positioning algorithm using matlab simulation to achieve! Convenient reference for beginners to use!)

此matlab代码用于削减并消除图片中的block，提高图片质量。Deblock使用小波变换消除block，DeBlocking2通过计算熵，确定每个block的信息量，来消除block(This matlab code is for diluting and removing artifacts in images, upgrading the images. DeBlock applies wavelet to deblock and DeBlocking2 deblocks by calculating entropy, classifying amount of information, in each block.)

MATLAB 教程---Matlab_陈旻昕讲座，并附三个列子供初学者学习(MATLAB)