代码搜索:MATLAB LMD

找到约 10,000 项符合「MATLAB LMD」的源代码

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www.eeworm.com/read/267882/11159947

m ruihua.m

clc; clear all; I=imread('zhuchi.jpg'); imshow(I),title('原始'); f=double(I); % 数据类型转换,MATLAB不支持图像的无符号整型的计算 g=fft2(f); % 傅立叶变换 g=fftshift(g); % 转换数据矩阵 [M,N]=size(g); nn=2;
www.eeworm.com/read/266642/11216447

m ea401.m

% 《工程线性代数(MATLAB版)》第四章例题4.1程序ea401 % 陈怀琛,高淑萍,杨威合编,电子工业出版社,2007年6月 % 平面向量的绘制 % u=[2;4]; v=[3;-1]; plot([2,3],[4,-1],'x');hold on drawvec(u);hold on % drawvec是ATLAST中的子程序 drawvec(v,'g');hold on
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m ea520a.m

% 《工程线性代数(MATLAB版)》第五章例题5.20程序ea520a % 陈怀琛,高淑萍,杨威合编,电子工业出版社,2007年6月 % 二次型方程拟合问题 % clear x=[-1;0;2;2;0];y=[0;2;3;-2;-3]; A=[x.^2,x.*y,y.^2,x,y], b=-ones(5,1) K=A\b ezplot('2*X.^2-X.*Y+Y.^2-4*
www.eeworm.com/read/266642/11216457

m ea708.m

% 《工程线性代数(MATLAB版)》第七章例题7.8程序ea708 % m1=1; m2=9; k1 = 4; k2=2; % 输入各原始参数 x0 = [1;0]; xd0 = [0;-1]; tf= 20; M = [m1,0;0,m2]; K = [k1+k2, -k2; -k2, k2]; % 构成参数矩阵 K0=inv(M)*K [u,L] = eig (K0
www.eeworm.com/read/411667/11234363

txt~ readme.txt~

Kalman filter toolbox written by Kevin Murphy, 1998. See http://www.ai.mit.edu/~murphyk/Software/kalman.html for details. This version was last updated on 18 January 2003. Installation ------------
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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
www.eeworm.com/read/266102/11240297

txt readme.txt

======================== System Requirements: 1) 1 MB of HD space available. 2) MATLAB version 5.3 (or higher) installed. ======================== Installation: 1) Create a new MATLAB to
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m sn2sg.m

% MATLAB function sn2sg.m deals with mismatching % effects at the Q terminals of a multi-port network. % Function sn2sg.m needs as its inputs the % normalizing impedance matrix Z0 (denoted Z0, % d
www.eeworm.com/read/265723/11255251

m isprime.m

function isp = isprime(X) %ISPRIME True for prime numbers. % ISPRIME(X) is 1 for the elements of X that are prime, 0 otherwise. % % Class support for input X: % float: double, single %
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m beta.m

function y = beta(z,w,v) %BETA Beta function. % Y = BETA(Z,W) computes the beta function for corresponding % elements of Z and W. The beta function is defined as % % beta(z,w) = integral