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/452217/7445386
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/206731/7457186
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/448400/7533859
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/436995/7757322
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/298649/7947911
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/197649/7982896
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/397102/8068494
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/145776/12703042
m dlcllms.m
%DLCLLMS Delayless Closed-Loop Subband LMS algorithm
%
% 'ifile.mat' - input file containing:
% Nr - members of ensemble
% N - iterations
% Sx - standard deviation of input
% B
www.eeworm.com/read/145776/12703063
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/145776/12703124
m eflrls3.m
%EFLRLS3 Problem 2.2
%
% 'ifile.mat' - input file containing:
% K - iterations
% H - FIR channel
% Neq - equalizer order
% sigman - standard deviation of noise at channel