Matlab-Lecture-notes

rake receiver for uwb

SAR成像的基本算法距离多普勒算法RDA,对初学者比较有帮助(SAR imaging（range doppler algorithm))

使用MATLAB进行图像的边缘提取，对于毕业设计有一点帮助(Using MATLAB for image edge extraction, there is little help for graduation)

LZ编码的程序，分为了几个文件，有利于学习。(LZ encoding process, is divided into several files。It s easy to learn)

本程序包内用matlab编写数值计算方法中的插值的源代码，包括Newton插值法，拉格朗日插值法，在mainInt.m文件中测试，并与拟合函数进行比较。供学习数值计算的程序员参考。(This program package using matlab numerical method of interpolation of the source code, including the Newton interpolation, Lagrange interpolation method, tested in mainInt.m file, and compare with the fitting function. For learning numerical Programmer s Reference.)

大名顶顶的第三方库例子SlidingMenu，在这基础上进行调用的例子，非常有特效，看起来舒服(Examples of third-party libraries Daimyo Dingding SlidingMenu, called in this example, based on highly specific, looks comfortable)

说明：  插值与拟合问题的matlab程序，并配有幻灯说明，供大家参考！(Interpolation problem with matlab fitting procedures and is equipped with slide shows that for your reference!)

利用matlab进行心电信号采集和分析相关(Using matlab to acquire and analyse ECG.)

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.)

核主成分分析方法是主成分分析的改进算法，其采用非线性方法提取主成分(Kernel principal component analysis method is an improved algorithm of principal component analysis, which uses a nonlinear principal components extracted)