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/352274/10568331
m rjls.m
function rjls(action,in1,in2);
%rjls 系统特性演示 - 1 : 二阶离散系统
% Illustrating some basic signal processing concepts, such as
% sampling, aliasing, and windowing.
% possible actions:
% 'start'
%
www.eeworm.com/read/352274/10568470
m yj.m
function yj(action,in1,in2);
%yj 系统特性演示 - 1 : 一阶系统
% Illustrating some basic signal processing concepts, such as
% sampling, aliasing, and windowing.
% possible actions:
% 'start'
% 'down
www.eeworm.com/read/352274/10568571
m anflttbl1.m
function fig = anflttbl1();
figName='查表法设计模拟滤波器';
[existFlag,figHandle]=figflag(figName);
if existFlag,
figure(figHandle);
return;
end;
load anflttbl
gi_step=0;
%===============
www.eeworm.com/read/352274/10568854
m lxzq1.m
function lxzq(action,in1,in2);
%LXZQ 连续周期信号的频谱分析
% possible actions:
% 'start'
% 'down'
% 'move'
% 'up'
% 'redraw'
% 'done'
% 'setfreq'
% 'setwindow'
% 'showwin'
if n
www.eeworm.com/read/212797/6962559
m vtb5_6.m
function vtb5_6(mu,beta,rmin,rmax)
%VTB5_6 Surface plot of the normalized amplitude of the primary
% mass for a damped absorber design.
% VTB5_6(mu,beta,rmin,rmax) displays the 3-D plot for normaliz
www.eeworm.com/read/469416/6976488
m demtrain.m
function demtrain(action);
%DEMTRAIN Demonstrate training of MLP network.
%
% Description
% DEMTRAIN brings up a simple GUI to show the training of an MLP
% network on classification and regressi
www.eeworm.com/read/467764/7001043
m rcs_sphere.m
% This program calculates the back-scattered RCS for a perfectly
% conducting sphere using Eq.(13.28), and produce plots similar to Fig.10.8
% Spherical Bessel functions are computed using series a
www.eeworm.com/read/272224/7096344
m vtb5_6.m
function vtb5_6(mu,beta,rmin,rmax)
%VTB5_6 Surface plot of the normalized amplitude of the primary
% mass for a damped absorber design.
% VTB5_6(mu,beta,rmin,rmax) displays the 3-D plot for normaliz
www.eeworm.com/read/458262/7128024
m rcs_sphere.m
% This program calculates the back-scattered RCS for a perfectly
% conducting sphere using Eq.(2.7), and produce plots similar to Fig.2.7
% Spherical Bessel functions are computed using series appr
www.eeworm.com/read/448019/7541845
m plotautocorr.m
%%%%%%%%%%%%% Plot Autocorr %%%%%%%%%%%%%%%
function Plot_Autocorr=PlotAutocorr(Auto_corr,t) %%%%
Autocorr=Auto_corr;
Time=t;
P2=plot(Time,Autocorr);
Title=title('Normalized