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/467516/1500098
as variance.as
package flare.query
{
/**
* Aggregate operator for computing variance or standard deviation.
*/
public class Variance extends AggregateExpression
{
/** Flag indicating the population v
www.eeworm.com/read/455463/1614359
m dispcvpstat.m
function dispcvpstat
% Display of the Cross Over point averages (left and rigth) with their
% corresponding standard deviation and fold for each shot
% The Cross Over point averages are displayed in
www.eeworm.com/read/194440/8194189
m dispcvpstat.m
function dispcvpstat
% Display of the Cross Over point averages (left and rigth) with their
% corresponding standard deviation and fold for each shot
% The Cross Over point averages are displayed in
www.eeworm.com/read/367727/9735500
m eemd.m
% This is an EMD/EEMD program
%
% function allmode=eemd(Y,Nstd,NE)
%
% INPUT:
% Y: Inputted data;
% Nstd: ratio of the standard deviation of the added noise and that of Y;
%
www.eeworm.com/read/235612/14061001
m dispcvpstat.m
function dispcvpstat
% Display of the Cross Over point averages (left and rigth) with their
% corresponding standard deviation and fold for each shot
% The Cross Over point averages are displayed in
www.eeworm.com/read/192078/8408277
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/389832/8496567
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/430775/8728874
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/386752/8728898
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/386050/8768198
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