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找到约 10,000 项符合「Matlab仿真」的源代码

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m ip_04_04.m

% MATLAB script for Illustrative Problem 4.4. echo on ; a=[-10,-5,-4,-2,0,1,3,5,10]; for i=1:length(a)-1 y(i)=centroid('normal',a(i),a(i+1),0.001,0,1); echo off ; end
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m fil.m

function [out]=fil(in,f); % % Filters the data using a first order filter % % [out]=fil(in,f); % % f is a vector containing the filter constants % % Updated to use MATLAB's built in filter rou
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txt readme.txt

Kalman filter toolbox written by Kevin Murphy, 1998. See http://www.ai.mit.edu/~murphyk/Software/kalman.html for details. Installation ------------ 1. Install KPMtools from http://www.ai.mit.edu/~mu
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m fgp832.m

%《数字信号处理教程——MATLAB释义与实现》第八章图8.3.2生成程序fgp832 % s平面到z平面的指数变换映射 % 电子工业出版社出版 陈怀琛编著 2004年9月 % a=[-2:0.1:0]; % 设定实部分度 b=[-3:0.2:3]; % 设定虚部分度 [X,Y]=meshgrid(a,b); %
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m centre.m

function [C]=centre(A,u) %CENTRE: This function returns the centre of matrix of fuzzy value B over % universe V. The centre C is a vector the same number on membership % functions in B (the same
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m comple.m

function [notdA] = comple(dA) %COMPLE: This function operate as a quantifier on matrix of fuzzy values % A, and will returns the membership function related to % 'comple A'. %
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old fisdemo.old

% Demo file for Fuzzy Inference Systems toolbox for MATLAB. % ****** FISMAT ******* % This demonstration program present most of m_files created for % fuzzy inference systems to
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m bell_2.m

function y = bell_2(x, a, b, c) % BELL_2: Generalized bell-shaped membership function with three % parameters a, b, c. (defaults are 1,1, and 0). % % Y =
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m intersec.m

function [dA1dA2] = intersec(dA1,dA2) %INTERSEC: The intersection of matrix of fuzzy values A and B over the % same universe will be calculated. % % [A1&A2] = I
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m grademf.m

function [gmf]=grademf(A,Ao,u) %GRADEMF: Grade of Membership Function: Consider a matrix of fuzzy % values A over universe of U. This function returns the grade % of membership func