代码搜索：deviation

找到约 1,443 项符合「deviation」的源代码

代码结果 1,443
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www.eeworm.com/read/132953/14065201

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 mean %
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www.eeworm.com/read/132953/14065413

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 mean %
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www.eeworm.com/read/132953/14065469

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 mean %
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www.eeworm.com/read/202486/15381527

cpp pr0634.cpp

// Programming with C++, Second Edition, by John R. Hubbard // Copyright McGraw-Hill, 2000 // Problem 6.34 on page 146 // Computing statistics #include // defines the assert() fu
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www.eeworm.com/read/202486/15381861

cpp pr0633.cpp

// Programming with C++, Second Edition, by John R. Hubbard // Copyright McGraw-Hill, 2000 // Problem 6.33 on page 146 // Computing Z-scores #include // defines the assert() func
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www.eeworm.com/read/101557/15826602

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
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www.eeworm.com/read/101557/15826859

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
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www.eeworm.com/read/101557/15827411

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
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www.eeworm.com/read/101557/15827424

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
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www.eeworm.com/read/192078/8408276

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
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