GUI01

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.)

运用奇异值分解，离散傅里叶变换的水印算法，完整程序(wartermarking algorithm)

matlab高斯滤波、中值滤波、均值滤波.rar(Three mathod of matlab filtration)

用MATLAB及梯形公式、辛普森公式计算数值积分；(Control with MATLAB and the trapezoid formula, Simpson s numerical integration formula )

利用光滑牛顿法求解二次规划子问题，以下为代码(Smooth Newton method using quadratic programming sub-problems, the following code)

matlab实现贝叶斯分类器，开发环境是Matlab，不过这里没有。(matlab realize the Bayesian classifier development environment Matlab, but this is no.)

基于粒子群算法的多目标搜索算法，基于matlab仿真源程序代码，用于学习matlab算法设计的一个很好的例子(Multi-objective search algorithm based on particle swarm optimization algorithm, based on the Matlab simulation source code for a good example to learn matlab algorithm design)

流形学习是近年来机器学习及模式识别等领域的一个研究热点，其主要目标是去发现高维观察数据空间的低维光滑流形。自从2000年Roweis和Saul提出LLE算法、Tenenbaum等人提出Isomap算法，特别是Donoho等人发现Isomap算法能够准确发现人脸图像流形潜在的参数空间、张长水等人将LLE算法用于人脸识别并取得了较好的识别效果之后，基于流形学习的人脸识别研究引起了人们的广泛关注。(Manifold learning in recent years the field of machine learning and pattern recognition as a research focus, its main goal is to find high-dimensional data space observation of low-dimensional smooth manifold. Since 2000 LLE algorithm proposed by Roweis and Saul, Tenenbaum and others proposed Isomap algorithm, especially Donoho, who found that Isomap algorithm can find the potential face images of the parameter space manifold, and Chang-water will LLE algorithm for face recognition and to obtain a good recognition results, the manifold learning-based face recognition research has aroused extensive attention.)

非常不错的QPSK在matlab中的仿真教程，文档中包含相关的所有代码(very good QPSK in the Matlab simulation Guide, the document contains all the related code!)

em算法matlab代码。解压缩后直接可以在matlab环境下运行(em algorithm Matlab code. Decompress directly in the operating environment Matlab)