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/359212/10161206
m ismooth.m
%ISMOOTH Smooth with Gaussian kernel
%
% ims = ismooth(im, sigma)
%
% Smooths all planes of the input image im with a unit volume Gaussian
% function of standard deviation sigma.
%
% The resulting im
www.eeworm.com/read/359212/10161276
m kgauss.m
%KGAUSS Gaussian smoothing kernel
%
% k = kgauss(sigma)
% k = kgauss(sigma, w)
%
% Returns a unit volume Gaussian smoothing kernel. The Gaussian has
% a standard deviation of sigma, and the convolut
www.eeworm.com/read/161189/10439799
m fun.m
%
% fvec=fun(p)
%
% Computes the differences between forward model prediction and data,
% normalized by the standard deviation for the slug test example.
%
function fvec=fun(p)
%
% global variables.
%
www.eeworm.com/read/159601/10636865
m standvec.m
function z = standvec(x)
%
% STANDVEC
%
% Standardises a vector x, ie. the mean of x is
% subtracted from all elements of x and the
% result is divided by the standard deviation of x.
%
% Call
www.eeworm.com/read/349916/10783504
m standvec.m
function z = standvec(x)
%
% STANDVEC
%
% Standardises a vector x, ie. the mean of x is
% subtracted from all elements of x and the
% result is divided by the standard deviation of x.
%
% Call
www.eeworm.com/read/419474/10866137
m statup.m
% statup.m
% Scope: This MATLAB macro computes the running mean, standard
% deviation and root mean square for a set of real samples.
% Usage: [np1,am,astd,
www.eeworm.com/read/418695/10935596
m gencirc.m
%GENCIRC Generation of a one-class circular dataset
%
% A = gencirc(n,s)
%
% Generation of a one-class circular dataset with radius 1 and
% normally distributes radial noise with standard deviation
www.eeworm.com/read/271244/11001927
m zfa.m
function [f,stdf,a,stda]=zfa(data,dt)
%
% [f,stdf,a,stda]=zfa(data,dt):
%
% Function to generate a zero-crossing (and extrema) frequency,
% amplitude and their standard deviation of dat
www.eeworm.com/read/461294/7230029
m standvec.m
function z = standvec(x)
%
% STANDVEC
%
% Standardises a vector x, ie. the mean of x is
% subtracted from all elements of x and the
% result is divided by the standard deviation of x.
%
% Call
www.eeworm.com/read/457219/7332202
m standvec.m
function z = standvec(x)
%
% STANDVEC
%
% Standardises a vector x, ie. the mean of x is
% subtracted from all elements of x and the
% result is divided by the standard deviation of x.
%
% Call