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/192078/8408269
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/192078/8408329
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
www.eeworm.com/read/192078/8408350
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/189063/8493116
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/388439/8609713
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/288527/8627065
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/431675/8662268
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/283135/9040729
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/177981/9425167
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/164272/10120347
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