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/152883/12075933
m xtshm1.m
clear all;
clc;
screen=get(0,'ScreenSize');
WinW=screen(3); WinH=screen(4);
gmain=figure('Color',[0.6,0.8,0.9],'Pos',[20,20,0.6*WinW,0.8*WinH],...
'Name','控制系统状态空间描述','NumberTitle','off','MenuB
www.eeworm.com/read/255284/12090291
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/255284/12090617
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/152459/12112360
m duoduixiang.m
function duoduixiang
global h_edita1 h_edita2 h_edita3 j h_edita4 speed h_slider1 h_slider2 h_slider3 x1 y1 x2 y2 x3 x22 y22 y3
clf reset
H=axes('unit','normalized','position',[0,0,1,1],'v
www.eeworm.com/read/152406/12116716
m binomialxfrmrbw.m
% BINOMIALXFRMRBW Calculate the bandwidth of a binomial transformer
%
% [BW] = BINOMIALXFRMRBW (Zl, Z0, N, GammaM) calcultaes the relative bandwidth
% of an N section binomial trans
www.eeworm.com/read/254742/12121210
m program_9_1.m
% Program 9_1
% Elliptic IIR Lowpass Filter Design
%
Wp = input('Normalized passband edge = ');
Ws = input('Normalized stopband edge = ');
Rp = input('Passband ripple in dB = ');
Rs = input('Min
www.eeworm.com/read/254742/12121216
m program_9_2.m
% Program 9_2
% Type 1 Chebyshev IIR Highpass Filter Design
%
Wp = input('Normalized passband edge = ');
Ws = input('Normalized stopband edge = ');
Rp = input('Passband ripple in dB = ');
Rs = i
www.eeworm.com/read/254742/12121280
m program_4_1.m
% Program 4_1
% 4-th Order Analog Butterworth Lowpass Filter Design
%
format long
% Determine zeros and poles
[z,p,k] = buttap(4);
disp('Poles are at');disp(p);
% Determine transfer function co
www.eeworm.com/read/253950/12173411
m demprgp.m
function demprgp(action);
%DEMPRGP Demonstrate sampling from a Gaussian Process prior.
%
% Description
% This function plots the functions represented by a Gaussian Process
% model. The hyperparameter
www.eeworm.com/read/253950/12173586
m demnlab.m
function demnlab(action);
%DEMNLAB A front-end Graphical User Interface to the demos
%
% Description
% This function will start a user interface allowing the user to select
% different demonstration f