代码搜索：deviation
找到约 1,443 项符合「deviation」的源代码
代码结果 1,443
www.eeworm.com/read/299625/6285272
m normalizemeanstd.m
function [xapp,xtest] = normalizemeanstd(xapp,xtest)
% USAGE
%
% [xapp,xtest] = normalizemeanstd(xapp,xtest)
%
% normalize inputs and output mean and standard deviation to 0 and 1
%
%
me
www.eeworm.com/read/309192/6342018
m mlp.m
%MLP Multilayer Perceptron algorithm
%
% 'ifile.mat' - input file containing:
% Nr - members of ensemble
% dim - iterations
% Nneur - number of neurons
% Sx - standard deviation
www.eeworm.com/read/493294/6400259
m datgauss.m
%DATGAUSS Apply Gaussian filter on images in a dataset
%
% B = DATGAUSS(A,SIGMA)
%
% INPUT
% A Dataset containing images
% SIGMA Standard deviation of Gaussian filter (default 1)
%
% OUT
www.eeworm.com/read/486483/6533029
m calcerr.m
function [PhError, Summary] = calcerr(Datatx,Datarx,DiffPhRx,wordsize)
%CALCERR Calculates the phase error, BER, and standard deviation of the error
%
% [PhError, Summary] = calcerr(Datatx,Datarx
www.eeworm.com/read/485932/6550730
m calcerr.m
function [PhError, Summary] = calcerr(Datatx,Datarx,DiffPhRx,wordsize)
%CALCERR Calculates the phase error, BER, and standard deviation of the error
%
% [PhError, Summary] = calcerr(Datatx,Datarx
www.eeworm.com/read/400577/11572990
m datgauss.m
%DATGAUSS Apply Gaussian filter on images in a dataset
%
% B = DATGAUSS(A,SIGMA)
%
% INPUT
% A Dataset containing images
% SIGMA Standard deviation of Gaussian filter (default 1)
%
% OUT
www.eeworm.com/read/255755/12057893
m datgauss.m
%DATGAUSS Apply Gaussian filter on images in a dataset
%
% B = DATGAUSS(A,SIGMA)
%
% INPUT
% A Dataset containing images
% SIGMA Standard deviation of Gaussian filter (default 1)
%
% OUT
www.eeworm.com/read/255595/12069788
m gnoise.m
function gn = gnoise(sig, leng, limit)
% Function gnoise generates Gaussian
% distributed samples with
% standard deviation sigma (variable:'sig')
% Vector length is controlled
% by parameter '
www.eeworm.com/read/152442/12113138
m gaussianblur.m
function GI = gaussianBlur(I,s)
% GAUSSIANBLUR blur the image with a gaussian kernel
% GI = gaussianBlur(I,s)
% I is the image, s is the standard deviation of the gaussian
% kernel, a
www.eeworm.com/read/150905/12249159
m datgauss.m
%DATGAUSS Apply Gaussian filter on images in a dataset
%
% B = DATGAUSS(A,SIGMA)
%
% INPUT
% A Dataset containing images
% SIGMA Standard deviation of Gaussian filter (default 1)
%
% OUT