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找到约 10,000 项符合「plot」的源代码
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www.eeworm.com/read/469416/6976511
m demglm2.m
%DEMGLM2 Demonstrate simple classification using a generalized linear model.
%
% Description
% The problem consists of a two dimensional input matrix DATA and a
% vector of classifications T. Th
www.eeworm.com/read/469124/6977884
m testnn.m
function testnn()
% Min/Max values for each input
PR = [0 1;
0 1];
% Size of hidden/output layer
S = [5 1];
% Cols - Input vectors, each col diff. vector
TI = [0 0 1 1;
0 1 0 1];
% Cols
www.eeworm.com/read/469172/6978642
m subband spectral entropy used in speech endpoint detection.m
%ABSE 求解函数
clear all,clc;
x=wavread('8a.wav');
%noise=wavread('pink.wav');
%M=size(signal);
%x=signal(1:M)+noise(1:M);
x = double(x);
x = x /max(abs(x));
xx=enframe(filter([1 -0.9375], 1, x),h
www.eeworm.com/read/469046/6984164
m 6-18.m
L = linspace(0,2.*pi,6);
xv = cos(L)';yv = sin(L)';
xv = [xv ; xv(1)];
yv = [yv ; yv(1)];
%设定多边形
x = randn(250,1);
y = randn(250,1);
www.eeworm.com/read/468577/6984383
m untitled21.m
load V10.txt;
u1=V10;
u=u1(1:100);
load T5.txt;
z1=T5;
z=z1(1:100);
N=5;
c3=eye(1,2*N);
h2=eye(1,2*N);
d=zeros(2*N,1);
%RLS递推最小二乘法
c0=c3';
p0=10^6*eye(2*N,2*N);
%E=0.00000000005;%相对误差E=0.
www.eeworm.com/read/468592/6985664
m multipath_doppler.m
%Comming from Multipath and Doppler effects and Models.Polytechnic
%University.2005
%wuguangfu
%20080918
%===============================================================
% Note that t
www.eeworm.com/read/468613/6985927
m helpme.m
clear;
clc;
GrayThreshold=60;
FileName = input('Enter your picture file name: ','s');
x=[];
map=[];
[x,map]=imread(FileName,'bmp');
%============================================================
www.eeworm.com/read/468793/6988602
m sinc.m
%sinc函数
t1=-10;
t2=10;
t=t1:0.01:t2;
r=pi.*t;
b=sin(r)./(r);
plot(t,b,'b-')
grid on
www.eeworm.com/read/468793/6988607
m zqixinhaodejiafa.m
%周期函数
a1=2;
a2=3;
a3=2.5;
b1=2/3;
b2=1/2;
b3=1/3;
t=-40:0.001:40;
x1=a1*sin(b1*pi*t);
x2=a2*sin(b2*pi*t);
x3=a3*sin(b3*t);
x4=x1+x2+x3;
c1=2*pi/(b1*pi);
c2=2*pi/(b2*pi);
c3=2*pi/(b3*pi);
www.eeworm.com/read/468793/6988615
m untitled20.m
t=-2:0.001:2;
tao=0.05
x=tao./(pi*(t.^2+tao.^2));
plot(t,x)
grid on
xlabel('t');
ylabel('x(t)');
title('tao/(pi*(t^2+tao^2))')