Learning.Programming.usingMATLAB

xlwrite Export Data to Excel from Matlab on MacWin

：滤波 fs=400 采样频率,必须大于两倍基带信号最高频率 ts=1/fs 采样时间间隔 T=5 时间窗大小 t=0:ts:T (hf1=zeros(1,N) hf1(f<=B1&f>=-B1)=1 y1=hf1.*fftshift(y) figure subplot(211) plot(f,abs(fftshift(y))/N,f,hf1, r-- ) axis([-fs/2,fs/2,0,1.2]) title( 原信号频谱 ) xlabel( f /Hz ) subplot(212) plot(f,abs(y1)/N) title( 低通滤波，截止频率90Hz ) xlabel( f /Hz ))

牛顿迭代法求非线性方程的解，需输入初始值，方程，导数方程，步数，error(Newton iteration solution of nonlinear equations required to enter the initial value equation, derivative equation, step number, error)

混沌映射(序列)matlab算法“小全”：Logistic、Henon、帐篷、kent(含混沌二值图像生成函数)的matlab程序(Chaotic map (sequence) matlab algorithm " Souvenir" : Logistic, Henon, Tent, kent (including chaotic binary image generating function) matlab program)

用K均值算法和C模糊算法对sonar数据和iris数据进行分类。 K均值算法是一种很常用的聚类算法，其基本思想是，通过迭代寻找K个聚类的一种划分方法，使得用这K个聚类的均值来代表各类样本是所得到的的总体误差最小。 模糊C均值（FCM）算法在K均值算法的基础上，用模糊子集代替确定子集，从而得到模糊的分类结果，即分类结果的模糊化。(Sonar data and iris data are classified by means of K mean algorithm and C fuzzy algorithm. The K mean algorithm is a very common clustering algorithm. Its basic idea is to find a partition method of K clustering by iteration, so that the average error of the mean of the K clustering is minimized. The fuzzy C mean (FCM) algorithm is based on the K mean algorithm. The fuzzy subset is replaced by the fuzzy subset, thus the fuzzy classification result is obtained, that is, the classification result is fuzzed.)

一个UPF的例程，内含matlab源代码和相关的文档资料（英文），对UPF的基本原理有详细的介绍(a UPF of routines, containing Matlab source code and related documentation information (English), UPF of the basic tenets is described in detail)

IEEE30节点遗传算法，简单实用，适合初学者学习，可用于配电网重构(Genetic algorithms, simple and practical, suitable for beginners to learn, can be used for distribution network reconfiguration)

F2T子函数，在做傅里叶变换时调用的函数。也可做成脚本文件。(F2T subroutine, called when doing Fourier transform function. Can also be made into a script file.)

介绍了三次样条插值的Mtlab程序，程序简单易懂，有助于对三次样条插值的了解。(Introduce a cubic spline interpolation of Mtlab procedures, the procedures simple and easy to understand, contribute to the cubic spline interpolation understanding.)

MATLAB Tutorial for sophomore students. Very useful for beginners.