jidashirandituicanshuguji

matlab程序画图，常见分形图，function cantor(A,B) c=1 p=0 figure hold on plot([A(2) B(2)],[A(1) B(1)], r* ) while norm(A(1,:)-B(1,:))>=1 C=[] D=[] for i=1:size(A,1) a=A(i,:)+(B(i,:)-A(i,:))/3 b=A(i,:)+2*(B(i,:)-A(i,:))/3 C=[C A(i,:) b] D=[D a B(i,:)] end A=C B=D p=p+1 (matlab program drawing, common fractal images function cantor(A,B) c=1 p=0 figure hold on plot([A(2) B(2)],[A(1) B(1)], r* ) while norm(A(1,:)-B(1,:))>=1 C=[] D=[] for i=1:size(A,1) a=A(i,:)+(B(i,:)-A(i,:))/3 b=A(i,:)+2*(B(i,:)-A(i,:))/3 C=[C A(i,:) b] D=[D a B(i,:)] end A=C B=D p=p+1 )

内含心电信号数据及运用MATLAB写的源代码，是国外的成品模型，小波包分析提取振动信号中的特征频率。( ECG data and includes source code written in MATLAB, Foreign model is finished, Wavelet packet analysis to extract vibration signal characteristic frequency.)

提高MAtlab编程技巧 书中主要以实例形式进行介绍，简便易学，是一本不可多得的好书(Improve you matlab skill: Many of the examples in the fi rst half of the book are not idiomatic MAT- LAB. I address this problem in the second half by translating the examples into a more standard style.)

广义预测控制(GPC)是一种鲁棒性强、能够有效地克服系统滞后、可应用于开环不稳定非最小相位系统的先进控制算法，但由于它需要Diophantine方程计算、矩阵求逆和最小二乘的递推求解，因此计算量很大，本程序针对此缺陷提出四种不基于对象模型且实时性高的广义预测控制快速算法(Generalized Predictive Control)

通过实现文件ft1调用函数fseries，完成傅里叶级数实现.(realization of fourier series by implemention of the file ft1,doing the function fseries)

matlab软件的仿真实列。 If you have any bugs and questions in our simulation programs, please e-mail to harada@ieee.org. We try to do our best to answer your questions. (matlab simulation software is included. If you have any bugs and questions in our simulation programs, please e-mail to harada@ieee.org. We try to do our best to answer your questions.)

code book parameters of lifting

变频调速系统仿真搭建模型 由于观测仿真波形 记录以及分析实验结果(Variable speed control system simulation build the observation model simulation and analysis of experimental results wave record )

函数作用： cwstd.m——用综合标准化法标准化矩阵 Cwfac.m——计算相关系数矩阵，计算特征向量和特征值，对主成分进行排序，计算各个特征值的贡献率，挑选主成分（贡献率达与85 ），输出主成分个数，计算主成分载荷 Cwscore.m——计算各主成分得分，综合得分并排序 Cwprint.m——读入数据文件，调用以上三个函数，并输出结果 原始数据：存储在src.txt中是一个30×8的矩阵 敲入命令： (PCA)

关于智能优化方法的一本很不错的参考书 可以参考(good book)