KMEANSalgorithmMatlabimplementationmethods

这个matlab程序实现了牛顿插值 （Newton s Interpolation ）算法(The matlab program Interpolation Newton (Newton s Interpolation) algorithm)

Curvelet变换是最近图像处理较新的一种多尺度几何变换算法，有详细的快速变换fdct_wrapping的matlab代码(Curvelet transform is the latest image processing a multiscale geometric transform algorithm is relatively new, there is a rapid transformation of fdct_wrapping with the matlab code)

one dimentional denoising using dulity based total variation denoising

code about face reading. it reads the face

采用matlab编写，对图像椒盐噪声与周期性噪声的进行滤除(Using matlab, image noise and periodic noise salt and pepper to filter out)

这是一个关于稀疏高斯过程的matlab源码，可以用于计算测试输入的高斯预测值。( spgp_pred computes the SPGP predictive distribution for a set of test inputs. You need to supply a set of pseudo-inputs or basis vectors for the approximation, and suitable hyperparameters for the covariance. You can use any method you like for finding the pseudo-inputs , with the simplest obviously being a random subset of the data. It is coded for Gaussian covariance function, but you could very easily alter this. It is also fine to use for high dimensional data sets. spgp_lik is the SPGP (negative) marginal likelihood and gradients with respect to pseudo-inputs and hyperparameters. So you can use this if you wish to try to optimize the positioning of pseudo-inputs and find good hyperparameters, before using spgp_pred . I would recommend initializing the pseudo-inputs on a random subset of the data, and initializing the hyperparameters sensibly. Its current limitations are that 1) it is slow and memory intensive for high dimensional data sets 2) it is heavi)

各种matlab算例应用尽有，对matlab的初学者有很大的帮助。(matlab algorithm)

这是一本学习matlab simulink方面实例的书，通过不断地练习例子，可以很快的进入入门阶段。(this is a book of matlab simulink,we can study well matlab simulink through the book.)

一个自己编的稀疏表示分类程序（SRC），以帮助了解SRC的原理和算法。(A self sparse representation classification (SRC) program, to help understand the principles and algorithms of the SRC.)

针对非线性系统状态估计滤波，有很好的植入性，希望可以帮助到你。(Nonlinear system filtering)