代码搜索：Normalized
找到约 4,216 项符合「Normalized」的源代码
代码结果 4,216
www.eeworm.com/read/356723/10222081
m fig5_8.m
clear all
bw = 10.0;
f0 = 10.;
tau = 30.0e-3;
mu = bw / tau;
n=0;
fs = 2.5*bw;
for t = -1.25:.1/fs:1.25
n = n+1;
y(n) = exp(i * .5 * mu * t^2);
end
yfft= fftshift(fft(y,1024));
freq=
www.eeworm.com/read/356723/10222133
m fig1_31.m
a=-2*pi:0.01:2*pi;
%angle=sin(a);
y=sinc(a).^2;
ymod=10.*log10(y);
plot(a,ymod,'k');
grid
xlabel('Aangle - radians');
ylabel('Normalized antenna pattern -dB');
www.eeworm.com/read/356183/10235353
m fig1_23.m
% Use this program to reproduce Fig. 1.23
clear all
close all
x = linspace(-2*pi,2*pi, 200);
y = sinc(x);
y = y ./ (max(y));
figure (1)
plot(x, 20*log10(abs(y)));
grid
axis tight
xlabel('Ang
www.eeworm.com/read/356183/10235481
m fig3_8_v1.m
clear all
bw = 10.0;
f0 = 10.;
tau = 30.0e-3;
mu = bw / tau;
n=0;
fs = 2.5*bw;
for t = -1.25:.1/fs:1.25
n = n+1;
y(n) = exp(i * .5 * mu * t^2);
end
yfft= fftshift(fft(y,1024));
freq=
www.eeworm.com/read/355524/10259550
m suoha.m
% clear
M=1000;
Kp=100;
Kz=1;
close all
S={'2','3','4','5','6','7','8','9','10','J','Q','K','A'};
CC={'\diamondsuit','\heartsuit','\clubsuit','\spadesuit'};
PPd=randperm(52);
aa=PPd(1:5);
bb=
www.eeworm.com/read/281150/10259822
c mpsplot.c
#include
#include
#include
#include "msp.h"
void mpsplot(float psdr[],float psdi[],int mfre,float ts)
{
/*----------------------------------------------------------
www.eeworm.com/read/162867/10262353
m pertone.m
% pertone Demonstrates Per Tone equalizers design functions
% in the DMTTEQ Toolbox.
%
% To start the demo type "pertone".
%
% For more information use the "info" button after starting
% the demo.
%
www.eeworm.com/read/162729/10278926
m clust_denormalize.m
function data = clust_denormalize(data)
% method description
% 'var' denormalization from a data whitch variation was normalized to one (linear operation).
% 'range' denormaliza
www.eeworm.com/read/280595/10312229
m demo_svm.m
function result = demo_svm(action,hfigure,varargin)
% DEMO_SVM Demo on Support Vector Machines.
%
% Synopsis:
% demo_svm
%
% Description:
% DEMO_SVM demonstrates algorithms training the binary
%
www.eeworm.com/read/162179/10328947
m clust_denormalize.m
function data = clust_denormalize(data)
% method description
% 'var' denormalization from a data whitch variation was normalized to one (linear operation).
% 'range' denormaliza