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/475442/6781537
m gngauss.m
function [gsrv1,gsrv2]=gngauss(m,sgma)
% [gsrv1,gsrv2]=gngauss(m,sgma)
% [gsrv1,gsrv2]=gngauss(sgma)
% [gsrv1,gsrv2]=gngauss
% GNGAUSS generates two independent Gaussian random variables with me
www.eeworm.com/read/474583/6812975
svn-base compute_gaussian_filter.m.svn-base
function f = compute_gaussian_filter(n,s,N);
% compute_gaussian_filter - compute a 1D or 2D Gaussian filter.
%
% f = compute_gaussian_filter(n,s,N);
%
% 'n' is the size of the filter, odd f
www.eeworm.com/read/474583/6813097
m compute_gaussian_filter.m
function f = compute_gaussian_filter(n,s,N);
% compute_gaussian_filter - compute a 1D or 2D Gaussian filter.
%
% f = compute_gaussian_filter(n,s,N);
%
% 'n' is the size of the filter, odd f
www.eeworm.com/read/194440/8194170
m autorejectcb.m
function autorejectcb(action)
% Determination of the parameter for the cross over point rejection
% The rejection is based on a factor of the standard deviation or on a
% constant limit difference fro
www.eeworm.com/read/194440/8194293
m dispdepth.m
function dispdepth
% Display of the calculated depth model and the corresponding
% standard deviation and fold for each receiver
f=gcf;
depth=refdata('get','depth');
recelev=refdata('get','recelev'
www.eeworm.com/read/294823/8204656
m gngauss.m
function [gsrv1,gsrv2]=gngauss(m,sgma)
% [gsrv1,gsrv2]=gngauss(m,sgma)
% [gsrv1,gsrv2]=gngauss(sgma)
% [gsrv1,gsrv2]=gngauss
% GNGAUSS generates two independent Gaussian random variables with me
www.eeworm.com/read/294818/8204776
m gngauss.m
function [gsrv1,gsrv2]=gngauss(m,sgma)
% [gsrv1,gsrv2]=gngauss(m,sgma)
% [gsrv1,gsrv2]=gngauss(sgma)
% [gsrv1,gsrv2]=gngauss
% GNGAUSS generates two independent Gaussian random variables with me
www.eeworm.com/read/394381/8227370
m std.m
function y = std(x,flag,dim)
%列状数据标准差
%例如
% A=[11 4 0.2;22 3 0.5;0 3 0.4];
% std(A)
%
%STD Standard deviation.
% For vectors, STD(X) returns the standard deviation. For matrices,
%
www.eeworm.com/read/173140/9670677
m gngauss.m
function [gsrv1,gsrv2]=gngauss(m,sgma)
% [gsrv1,gsrv2]=gngauss(m,sgma)
% [gsrv1,gsrv2]=gngauss(sgma)
% [gsrv1,gsrv2]=gngauss
% GNGAUSS generates two independent Gaussian random variables with mean
%
www.eeworm.com/read/173140/9670710
m gngauss.m
function [gsrv1,gsrv2]=gngauss(m,sgma)
% [gsrv1,gsrv2]=gngauss(m,sgma)
% [gsrv1,gsrv2]=gngauss(sgma)
% [gsrv1,gsrv2]=gngauss
% GNGAUSS generates two independent Gaussian random variables with mean
%