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/147422/5729983
m exe.m
% Script: exe.m is used to perform LPC-based analysis by exe_pb in a_win_f.
%
% speech = the input speech signal
% basic = [numf vt sr Order fram_len over_len m_len]
%
% for detai
www.eeworm.com/read/491236/6437968
m fig710.m
clear all
fofr = 0:0.001:1;
f1 = 4.0 .* fofr;
f2 = 5.0 .* fofr;
arg1 = pi .* f1;
arg2 = pi .* f2;
resp1 = abs(sin(arg1));
resp2 = abs(sin(arg2));
resp = resp1+resp2;
max1 = max(resp);
resp =
www.eeworm.com/read/491236/6437978
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/489524/6472550
m fig710.m
clear all
fofr = 0:0.001:1;
f1 = 4.0 .* fofr;
f2 = 5.0 .* fofr;
arg1 = pi .* f1;
arg2 = pi .* f2;
resp1 = abs(sin(arg1));
resp2 = abs(sin(arg2));
resp = resp1+resp2;
max1 = max(resp);
resp =
www.eeworm.com/read/489524/6472627
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/485544/6552789
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 regression pr
www.eeworm.com/read/405928/11454974
m crosscorr.m
function [scrc,crc] = crosscorr(I1,I2,SVD)
% CROSSCORR Computes the normalized cross-correlation between two images
%
% [scrossc crossc] = crosscorr(I1,I2)
%
% input
% I1,I2: Images
%
% ou
www.eeworm.com/read/405084/11472077
m fig710.m
clear all
fofr = 0:0.001:1;
f1 = 4.0 .* fofr;
f2 = 5.0 .* fofr;
arg1 = pi .* f1;
arg2 = pi .* f2;
resp1 = abs(sin(arg1));
resp2 = abs(sin(arg2));
resp = resp1+resp2;
max1 = max(resp);
resp =
www.eeworm.com/read/405084/11472086
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/402117/11543024
m fig710.m
clear all
fofr = 0:0.001:1;
f1 = 4.0 .* fofr;
f2 = 5.0 .* fofr;
arg1 = pi .* f1;
arg2 = pi .* f2;
resp1 = abs(sin(arg1));
resp2 = abs(sin(arg2));
resp = resp1+resp2;
max1 = max(resp);
resp =