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/123749/14614307
txt variables.txt
VARIABLE STRUCTURE
There are two structures: 'para' and 'data',
where structure 'para' contains all parameters including 'load data',
'variogram', 'kriging', and 'display', and structur
www.eeworm.com/read/217949/14942582
m fig3_14.m
%
% This file generates the plot shown in Figure 3-14
%
% Copyright (c) 1999 by P.Bretchko and R.Ludwig
% "RF Circuit Design: Theory and Practice"
%
close all; % close all opened graphs
www.eeworm.com/read/217949/14942584
m fig3_16.m
%
% This file generates the plot shonw in Figure 3-16
%
% Copyright (c) 1999 by P.Bretchko and R.Ludwig
% "RF Circuit Design: Theory and Practice"
%
global Z0;
close all; % close all o
www.eeworm.com/read/217949/14942586
m fig3_13.m
%
% This file generates the plot shown in Figure 3-13
%
% Copyright (c) 1999 by P.Bretchko and R.Ludwig
% "RF Circuit Design: Theory and Practice"
%
close all; % close all opened graphs
www.eeworm.com/read/217949/14942595
m fig3_15.m
%
% This file generates the plot shonw in Figure 3-15
%
% Copyright (c) 1999 by P.Bretchko and R.Ludwig
% "RF Circuit Design: Theory and Practice"
%
global Z0;
close all; % close all o
www.eeworm.com/read/217687/14953480
m bpfilter.m
function y = BPFilter(x,fl,fu)
%
% y = BPFilter(x,fl,fu),
% Bandpass filter using FFT filtering
%
% inputs:
% x: vector or matrix of input data (channels x samples)
% fl: normalized lower frequ
www.eeworm.com/read/293183/8310262
m classc.m
%CLASSC Convert mapping to classifier
%
% W = classc(W)
% W = W*classc
%
% The mapping W is converted into a classifier: outputs (distances to the map)
% are converted by the sigmoid function to proba
www.eeworm.com/read/111282/15515774
m quit_nn.m
% File Name : quit_nn.m
% Purpose : Quit Figure
% Author : Hossam E. Mostafa Abdelbaki, School of Computer Science,
% University of Centeral Florida (U
www.eeworm.com/read/111282/15515790
m help_nn.m
% File Name : help_nn.m
% Purpose : Drawing the Help window
% Author : Hossam E. Mostafa Abdelbaki, School of Computer Science,
% University of Center
www.eeworm.com/read/388937/8563851
m fir.m
%利用Hamming窗设计FIR数字低通滤波器
ap=3;as=30;
fp=30; fs=50;
Fs=200;
Wp=0.3*pi;Ws=0.5*pi;
%确定滤波器阶数
f=(fs-fp)/Fs;
N=3.3/f;
M=N-1;
fprintf('滤波器阶数=% .0f\n',M);
%理想低通截频
Wc=(Wp+Ws)/2;
%窗函数的值
k=0:M;
Wk=0