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/310212/13654951
m std2.m
function s = std2(a)
%STD2 Compute standard deviation of matrix elements.
% B = STD2(A) computes the standard deviation of the values in
% A.
%
% Class Support
% -------------
% A is
www.eeworm.com/read/309190/13679385
m lms3.m
%LMS3 Problem 1.1.1.2.1
%
% 'ifile.mat' - input file containing:
% I - members of ensemble
% K - iterations
% a1 - coefficient of input AR process
% sigmax - standard dev
www.eeworm.com/read/308059/13710395
html statisticallinechartdemo1.html
StatisticalLineChartDemo1
A line chart that uses a StatisticalCategoryDataset to overlay a standard deviation indicator for each data value.
www.eeworm.com/read/306478/13744690
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/305575/13765632
m simplepdf.m
function[f]=simplepdf(x,mu,sig,flag,alpha)
%SIMPLEPDF Gaussian, uniform, and Cauchy probability density functions.
%
% F=SIMPLEPDF(X,MU,SIG,'gaussian') computes a Gaussian pdf with mean
% MU and s
www.eeworm.com/read/304881/13784513
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/303558/13812642
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/302326/13837635
m vlms.m
%VLMS Volterra LMS algorithm
%
% 'ifile.mat' - input file containing:
% Nr - members of ensemble
% dim - iterations
% Sx - standard deviation of input
% Sn - standard deviation
www.eeworm.com/read/302326/13837652
m lms3.m
%LMS3 Problem 1.1.1.2.1
%
% 'ifile.mat' - input file containing:
% I - members of ensemble
% K - iterations
% a1 - coefficient of input AR process
% sigmax - standard dev
www.eeworm.com/read/302326/13837658
m rls3.m
%RLS3 Problem 1.1.1.2.3
%
% 'ifile.mat' - input file containing:
% I - members of ensemble
% K - iterations
% a1 - coefficient of input AR process
% sigmax - standard dev