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/417550/10986218
m gngauss.m
function[gsrv1,gsrv2]=gngauss(m,sgma)
% m--mean, sgma--standard deviation
if nargin==0,
m=0;sgma=1;
elseif nargin==1,
sgma=m;m=0;
end;
u=rand;
z=sgma*(sqrt(2*log(1/(1-u)))); %a R
www.eeworm.com/read/417550/10986229
m gngauss.m
function[gsrv1,gsrv2]=gngauss(m,sgma)
% m--mean, sgma--standard deviation
if nargin==0,
m=0;sgma=1;
elseif nargin==1,
sgma=m;m=0;
end;
u=rand;
z=sgma*(sqrt(2*log(1/(1-u)))); %a R
www.eeworm.com/read/467324/7009780
m normal.m
function y=normal(x,m,s)
% FUNCTION y=NORMAL(x,m,s)
% Gaussian distribution
% m=mean
% s=standard deviation
y=(1/sqrt(2*pi*s^2))*exp(-((x-m).^2)/(2*s^2));
www.eeworm.com/read/467324/7009804
m normal.m
function y=normal(x,m,s)
% FUNCTION y=NORMAL(x,m,s)
% Gaussian distribution
% m=mean
% s=standard deviation
y=(1/sqrt(2*pi*s^2))*exp(-((x-m).^2)/(2*s^2));
www.eeworm.com/read/466476/7035933
m normal.m
function y=normal(x,m,s)
% FUNCTION y=NORMAL(x,m,s)
% Gaussian distribution
% m=mean
% s=standard deviation
y=(1/sqrt(2*pi*s^2))*exp(-((x-m).^2)/(2*s^2));
www.eeworm.com/read/463748/7175980
m normal.m
function y=normal(x,m,s)
% FUNCTION y=NORMAL(x,m,s)
% Gaussian distribution
% m=mean
% s=standard deviation
y=(1/sqrt(2*pi*s^2))*exp(-((x-m).^2)/(2*s^2));
www.eeworm.com/read/463748/7176001
m normal.m
function y=normal(x,m,s)
% FUNCTION y=NORMAL(x,m,s)
% Gaussian distribution
% m=mean
% s=standard deviation
y=(1/sqrt(2*pi*s^2))*exp(-((x-m).^2)/(2*s^2));
www.eeworm.com/read/463000/7190790
m main.m
% Program 2-3
% main.m
%
% calculate mean, dispersion and standard deviation for the vector data
%
% Programmed by H.Harada
%
data=rand(1,20);
mvalue2=mvalue(data);
[sigma2, sigma]= disper(
www.eeworm.com/read/462042/7211929
txt 第2.7.2节中的代码.txt
I = ipexpropsSynthesizeImage;
imshow(I)
title('Synthetic Image') %
BW = I > 0;
L = bwlabel(BW);
imshow(label2rgb(L))
title('Label Matrix') %
s = regionprops(L, I, {'Centroid','WeightedCent
www.eeworm.com/read/461264/7230598
pro robust_sigma.pro
FUNCTION ROBUST_SIGMA,Y, ZERO=REF
;
;+
; NAME:
; ROBUST_SIGMA
;
; PURPOSE:
; Calculate a resistant estimate of the dispersion of a distribution.
; EXPLANATION:
; For an uncontaminated distribution,