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/309192/6342014
m sfrls3.m
%SFRLS3 Problem 2.3
%
% 'ifile.mat' - input file containing:
% K - iterations
% H - FIR channel
% Neq - equalizer order
% sigman - standard deviation of measurement noise
www.eeworm.com/read/309192/6342037
m olsblms.m
%OLSBLMS Open-Loop Subband LMS algorithm
%
% 'ifile.mat' - input file containing:
% Nr - members of ensemble
% N - iterations
% Sx - standard deviation of input
% B - coefficien
www.eeworm.com/read/484548/6579587
m convolvegaussian.m
function convolvedMatrix=convolveGaussian(matrix, filterSize, radius)
% The standard deviation is the parameter that defines the Gaussian in
% fspecial. Exp(-x^2/2/s^2).
% The the n_by_n matrix f
www.eeworm.com/read/484548/6579596
m convolveairy.m
function convolvedMatrix=convolveAiry(matrix, filterSize, radius)
% The standard deviation is the parameter that defines the Gaussian in
% fspecial. Exp(-x^2/2/s^2).
% The the n_by_n matrix for t
www.eeworm.com/read/479405/6694498
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/264420/11315755
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/342008/12047462
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/338643/12290432
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/124842/14534532
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/214740/15090363
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