代码搜索：preprocessing
找到约 856 项符合「preprocessing」的源代码
代码结果 856
www.eeworm.com/read/301959/13845504
m prep2d_rr.m
function fp=prep2D_rr(f,flt)
%fp=prep2D_rr(f,flt)
%
% This function performs oversampled ("repeated row") preprocessing of
% given 2-dimensional signal. For description of the algorithm see [S
www.eeworm.com/read/301959/13845517
m prep1d_rr.m
function fp=prep1D_rr(f,flt)
%fp=prep1D_rr(f,flt)
%
% This function performs oversampled ("repeated row") preprocessing of given
% 1-dimensional signal. For description of the algorithm see [S
www.eeworm.com/read/228658/14371259
m prep2d_rr.m
function fp=prep2D_rr(f,flt)
%fp=prep2D_rr(f,flt)
%
% This function performs oversampled ("repeated row") preprocessing of
% given 2-dimensional signal. For description of the algorithm see [S
www.eeworm.com/read/228658/14371306
m prep1d_rr.m
function fp=prep1D_rr(f,flt)
%fp=prep1D_rr(f,flt)
%
% This function performs oversampled ("repeated row") preprocessing of given
% 1-dimensional signal. For description of the algorithm see [S
www.eeworm.com/read/125092/14513607
m prep2d_rr.m
function fp=prep2D_rr(f,flt)
%fp=prep2D_rr(f,flt)
%
% This function performs oversampled ("repeated row") preprocessing of
% given 2-dimensional signal. For description of the algorithm see [S
www.eeworm.com/read/125092/14513632
m prep1d_rr.m
function fp=prep1D_rr(f,flt)
%fp=prep1D_rr(f,flt)
%
% This function performs oversampled ("repeated row") preprocessing of given
% 1-dimensional signal. For description of the algorithm see [S
www.eeworm.com/read/133942/14017114
m nefgui_i.m
function nefgui_i(action, p1);
%NEFGUI_I GUI-Tool to manage input preprocessing
%
% See also NEFGUI_O, NEFGUI_E, NEFGUI and NEFCON.
% Author: Andreas Nuernberger, TU Braunschweig, A
www.eeworm.com/read/426658/9007156
h in.h
/* In.h
* l-grafi version 0.1
* File dove memorizzo gli include, le varie variabili da passare al preprocessing
* e le varie struct.
*/
//includes
#include
#include
#include
www.eeworm.com/read/438649/7728730
m mrtd2dcode.m
% matrix indices preprocessing
ind = 1:(xmax*ymax);
ind = reshape(ind,xmax,ymax);
...
for t = 1:Nt, % time-marching cycle
% indices initialization
ind1 = [ind(1:xmax-1,:) ; -ind(xmax-1,:)];
ind
www.eeworm.com/read/386597/2570141
m start_classify.m
function [D, test_err, train_err, train_patterns, train_targets, reduced_patterns, reduced_targets] = start_classify(patterns, targets, error_method, redraws, percent, Preprocessing_algorithm, Preproc