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/138743/5814028
m wt04fig17.m
%CAPTION
fprintf('\n');
disp('Figure 4.17')
disp('Window 1: Normalized scalogram of a hyperbolic chirp signal shown')
disp('in Figure 4.14.')
disp('Window 2: Ridges calculated from the scalogram.
www.eeworm.com/read/138743/5814037
m wt04fig16.m
%CAPTION
fprintf('\n');
disp('Figure 4.16')
disp('Window 1: Normalized scalogram of the linear chirp signal shown')
disp('in Figure 4.13.')
disp('Window 2: Ridges calculated from the scalogram.')
www.eeworm.com/read/487211/6516779
asv searchmaxmin.asv
close all;
clear all;
%normalized missalarm
%to produce the missing alarm of SIR state estimation and smoothed residual
n = 1:600;%sample steps
stdw = sqrt(10);
ngrid = 50;
npar = 500;%particl
www.eeworm.com/read/487211/6516783
m searchmaxmin.m
close all;
clear all;
%normalized missalarm
%to produce the missing alarm of SIR state estimation and smoothed residual
n = 1:600;%sample steps
stdw = sqrt(10);
ngrid = 50;
npar = 500;%particl
www.eeworm.com/read/485392/6561180
m sgrpdlay.m
function [gd,fnorm]=sgrpdlay(x,fnorm);
%SGRPDLAY Group delay estimation of a signal.
% [GD,FNORM]=SGRPDLAY(X,FNORM) estimates the group delay of
% signal X at the normalized frequency(ies) FNORM.
%
%
www.eeworm.com/read/262714/11392869
m err.m
rmsarr = [.0085 .0142 .0189 .0295 .0379];
steps = [1689 1591 1494 1369 1306];
figure;
plot(steps,rmsarr,'-o');
xlabel('Number of time steps to converge'); ylabel('Normalized root mean square')
www.eeworm.com/read/260913/11686910
m sgrpdlay.m
function [gd,fnorm]=sgrpdlay(x,fnorm);
%SGRPDLAY Group delay estimation of a signal.
% [GD,FNORM]=SGRPDLAY(X,FNORM) estimates the group delay of
% signal X at the normalized frequency(ies) FNORM.
%
%
www.eeworm.com/read/346367/11752697
m sgrpdlay.m
function [gd,fnorm]=sgrpdlay(x,fnorm);
%SGRPDLAY Group delay estimation of a signal.
% [GD,FNORM]=SGRPDLAY(X,FNORM) estimates the group delay of
% signal X at the normalized frequency(ies) FNORM.
%
%
www.eeworm.com/read/259886/11759585
m demop5.m
%% Normalized Perceptron Rule
% A 2-input hard limit neuron is trained to classify 5 input vectors into two
% categories. Despite the fact that one input vector is much bigger than the
% others, t
www.eeworm.com/read/259112/11820276
m sgrpdlay.m
function [gd,fnorm]=sgrpdlay(x,fnorm);
%SGRPDLAY Group delay estimation of a signal.
% [GD,FNORM]=SGRPDLAY(X,FNORM) estimates the group delay of
% signal X at the normalized frequency(ies) FNORM.
%
%