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/400577/11573152
m readdatafile.m
%READDATAFILE Read one of the datafiles
%
% [B,NEXT,J] = READDATAFILE(A,N)
%
% INPUT
% A Datafile
% N Number of the file to be read
%
% OUTPUT
% B Da
www.eeworm.com/read/400577/11573185
m datafiles.m
%DATAFILES Info on the datafile class construction for PRTools
%
% This is not a command, just an information file.
%
% Datafiles in PRTools are in the MATLAB language defined as objects of the
% clas
www.eeworm.com/read/388456/8608203
txt readme.txt
This directory contains examples for the use of AspectC++ with XMEM.
The AscpectC++ version is an alternative to the conventional macro
preprocessing. However, due to some limitations in AspectC++,
www.eeworm.com/read/386050/8768457
m vertcat.m
%VERTCAT Vertical concatenation of datafiles (object extension)
%
% C = [A;B]
%
% The datafiles A and B are vertically concatenated, i.e. the
% objects of B are added to the dataset A. This is cons
www.eeworm.com/read/386050/8768735
m imread.m
%IMREAD Datafile overload
%
% IM = IMREAD(A,N)
%
% The images (raw data) of the datafile A are returned as a cell array.
% The preprocessing and postprocessing defined for the datafile are
%
www.eeworm.com/read/299984/7140527
m datafiles.m
%DATAFILES Info on the datafile class construction for PRTools
%
% This is not a command, just an information file.
%
% Datafiles in PRTools are in the MATLAB language defined as objects of the
% clas
www.eeworm.com/read/460435/7251002
m datafiles.m
%DATAFILES Info on the datafile class construction for PRTools
%
% This is not a command, just an information file.
%
% Datafiles in PRTools are in the MATLAB language defined as objects of the
% clas
www.eeworm.com/read/445967/7587102
m simpcomp2d.m
function [rmsecomp,fhat]=simpcomp2D(fname,f,dflt,rflt,prepr,nlarge)
%[rmsecomp,fhat]=simpcomp2D(fname,f,dflt,rflt,prepr,nlarge)
%
% This function compresses 2-dimensional signal by retaining given
www.eeworm.com/read/441245/7673087
m vertcat.m
%VERTCAT Vertical concatenation of datafiles (object extension)
%
% C = [A;B]
%
% The datafiles A and B are vertically concatenated, i.e. the
% objects of B are added to the dataset A. This is cons
www.eeworm.com/read/441245/7673172
m imread.m
%IMREAD Datafile overload
%
% IM = IMREAD(A,N)
%
% The images (raw data) of the datafile A are returned as a cell array.
% The preprocessing and postprocessing defined for the datafile are
%