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/423536/10553133

m gngauss.m

function [gsrv1,gsrv2]=gngauss(m,sgma) % [gsrv1,gsrv2]=gngauss(m,sgma) % [gsrv1,gsrv2]=gngauss(sgma) % [gsrv1,gsrv2]=gngauss % GNGAUSS generates two independent Gaussian random variables with me
www.eeworm.com/read/423536/10553179

m gngauss.m

function [gsrv1,gsrv2]=gngauss(m,sgma) % [gsrv1,gsrv2]=gngauss(m,sgma) % [gsrv1,gsrv2]=gngauss(sgma) % [gsrv1,gsrv2]=gngauss % GNGAUSS generates two independent Gaussian random variables with me
www.eeworm.com/read/423536/10553256

m gngauss.m

function [gsrv1,gsrv2]=gngauss(m,sgma) % [gsrv1,gsrv2]=gngauss(m,sgma) % [gsrv1,gsrv2]=gngauss(sgma) % [gsrv1,gsrv2]=gngauss % GNGAUSS generates two independent Gaussian random variables with me
www.eeworm.com/read/423536/10553306

m gngauss.m

function [gsrv1,gsrv2]=gngauss(m,sgma) % [gsrv1,gsrv2]=gngauss(m,sgma) % [gsrv1,gsrv2]=gngauss(sgma) % [gsrv1,gsrv2]=gngauss % GNGAUSS generates two independent Gaussian random variables with me
www.eeworm.com/read/159620/10632876

m gngauss.m

function [gsrv1,gsrv2]=gngauss(m,sgma) % [gsrv1,gsrv2]=gngauss(m,sgma) % [gsrv1,gsrv2]=gngauss(sgma) % [gsrv1,gsrv2]=gngauss % GNGAUSS generates two independent Gaussian random variables with me
www.eeworm.com/read/273093/10927257

m std.m

function y = std(x,flag,dim) %列状数据标准差 %例如 % A=[11 4 0.2;22 3 0.5;0 3 0.4]; % std(A) % %STD Standard deviation. % For vectors, STD(X) returns the standard deviation. For matrices, %
www.eeworm.com/read/314041/6955428

m radiomodel.m

for j=1:20 ModelType='OBS'; %Separation distance Eexpressed in meet Dn=5; switch ModelType % For line-of-sight case 'LOS' % Probability of receiving a multipath for i=1:14 PT
www.eeworm.com/read/468525/6992447

m main_ikeda.m

%function [x,y]=ikeda(n,mu,x0,y0) %Syntax: [x,y]=ikeda(n,mu,x0,y0) %_____________________________________ % % Simulation of the Ikeda map. % x'=1+mu*(xcos(t)-ysin(t) % y'=mu*(xsin(t)+ycos(
www.eeworm.com/read/467324/7009814

m gngauss.m

function [gsrv1,gsrv2]=gngauss(m,sgma) % [gsrv1,gsrv2]=gngauss(m,sgma) % [gsrv1,gsrv2]=gngauss(sgma) % [gsrv1,gsrv2]=gngauss % GNGAUSS generates two independent Gaussian random variables with me
www.eeworm.com/read/467324/7009828

m gngauss.m

function [gsrv1,gsrv2]=gngauss(m,sgma) % [gsrv1,gsrv2]=gngauss(m,sgma) % [gsrv1,gsrv2]=gngauss(sgma) % [gsrv1,gsrv2]=gngauss % GNGAUSS generates two independent Gaussian random variables with me