代码搜索:deviation

找到约 1,443 项符合「deviation」的源代码

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m stdnan.m

function st=stdnan(X); %STDNAN estimate std with NaN's % % Estimates the standard deviation of each column of X % when there are NaN's in X. % % Columns with only NaN's get a standard deviatio
www.eeworm.com/read/436995/7757342

m genrn.m

% genrn.m % Scope: This MATLAB macro generates random numbers with normal % (Gaussian) distribution, with mean and standard deviation % specified
www.eeworm.com/read/434208/7881763

html statisticalbarchartdemo1.html

StatisticalBarChartDemo1 A bar chart that uses a StatisticalCategoryDataset to overlay a standard deviation indicator over each of the bars.
www.eeworm.com/read/198642/7918000

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/197958/7960377

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/297947/7984511

m compute_gaussian_filter.m

function f = compute_gaussian_filter(n,s,N); % compute_gaussian_filter - compute a 1D or 2D Gaussian filter. % % f = compute_gaussian_filter(n,s,N); % % 'n' is the size of the filter, odd f
www.eeworm.com/read/197261/8008638

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
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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/244945/12829301

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/331076/12852506

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