代码搜索：MATLAB LMD
找到约 10,000 项符合「MATLAB LMD」的源代码
代码结果 10,000
www.eeworm.com/read/184069/9123186
m cn.m
close all;
clear all;
a=0;b=1;m=10;T=0.5;N=50;af=1;
f=inline('sin(pi*x)','x');
h=(b-a)/m;
k=T/N;
lmd=af^2*k/h^2;
x=linspace(a,b,m+1);
x=x(2:m+1);
u(m)=0;
for i=1:m-1
u(i)=f(i*h);
end
www.eeworm.com/read/184069/9123207
m untitled.m
close all;
clear all;
a=0;b=2;c=0;d=1;
n=6;m=5;TOL=1e-10;
ITMAX=100;
f=inline('x*exp(y)','x','y');
ga=inline('0','x','y');gb=inline('2*exp(y)','x','y');
gc=inline('x','x','y');gd=inline('exp(1)
www.eeworm.com/read/184069/9123216
m wavequ.m
%波动方程有限差分法
f=inline('sin(pi*x)','x');
g=inline('0');
l=1;T=0.5;m=10;N=10;af=1;
xx=[];tt=[];uu=[];
h=l/m;
k=T/N;
lmd=k*af/h;
u(1,2:N+1)=0;
u(m+1,2:N+1)=0;
u(1,1)=f(0);
u(m+1,1)=f(l);
for i=
www.eeworm.com/read/371781/9536974
m rthet.m
%%%%%%%%%%%%% 10*10平面阵的指向性 %%%%%%%%%%%%%
clear all;clc;
f=60*10^3;
fs=5*f;
w=2*pi*f;
c=1500;
lmd=c/f;
%d=lmd/2;
d=0.015;
theti=30*pi/180;%入射信号的方位角－45～45，与平面阵的夹角
faii=0*pi/180;%入射信号的俯仰角0～90，
www.eeworm.com/read/162242/10323134
m hotqch.m
clear all
close all
a=0;b=1;m=10;T=0.5;N=1000;af=1;
f=inline('sin(pi*x)','x');
h=(b-a)/m;
k=T/N;
lmd=af^2*k/h^2; %注意lmd一定要小于0.5,只有这样差分法才稳定
x=linspace(a,b,m+1);
u(1,1:N+1)=0;
u(m+1,1:N+1)=0;
www.eeworm.com/read/162242/10323193
m cn.m
close all;
clear all;
a=0;b=1;m=10;T=0.5;N=50;af=1;
f=inline('sin(pi*x)','x');
h=(b-a)/m;
k=T/N;
lmd=af^2*k/h^2;
x=linspace(a,b,m+1);
x=x(2:m+1);
u(m)=0;
for i=1:m-1
u(i)=f(i*h);
end
www.eeworm.com/read/162242/10323242
m untitled.m
close all;
clear all;
a=0;b=2;c=0;d=1;
n=6;m=5;TOL=1e-10;
ITMAX=100;
f=inline('x*exp(y)','x','y');
ga=inline('0','x','y');gb=inline('2*exp(y)','x','y');
gc=inline('x','x','y');gd=inline('exp(1)
www.eeworm.com/read/162242/10323261
m wavequ.m
%波动方程有限差分法
f=inline('sin(pi*x)','x');
g=inline('0');
l=1;T=0.5;m=10;N=10;af=1;
xx=[];tt=[];uu=[];
h=l/m;
k=T/N;
lmd=k*af/h;
u(1,2:N+1)=0;
u(m+1,2:N+1)=0;
u(1,1)=f(0);
u(m+1,1)=f(l);
for i=
www.eeworm.com/read/271333/11000043
m new method for order parameter.m
%A is the order parameter
maxA = -1000;
minA = 1000;
for k=1:NumOfImage
%伪逆法
%A(1,k)=VV(k,:)*Q;
%距离法
%A(1,k)=1-norm((v(k,:)-Q'))/2;
%相关系数法
%A(1,k)=sum(sum((v(k
www.eeworm.com/read/271333/11000055
m ordeness of snn.m
%序参量演化方程
%the number of order parameter
NumberOfOP = NumOfImage;
%the number of step
NumberOfStep = 400;
%prepare attention parameter
for m=1:NumberOfOP
lmd(m)=1;
% lmd(m)=1-ab