gaussian_mixture_model.m: normcdf(x, mu, sigma) - File Exchange

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Highlights from
gaussian_mixture_model.m

... Estimate the parameters of a 1D Gaussian Mixture model using EM.
norm_density(x, mu, sigma) Compute density of normal distribution function
normcdf(x, mu, sigma) normal CDF
gaussian_mixture_model_demo.m
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from gaussian_mixture_model.m by Matthew Roughan
Estimate the parameters of a 1D Gaussian Mixture Model using the EM algorithm.

normcdf(x, mu, sigma)

function cdf = normcdf(x, mu, sigma)
% normal CDF
%
% file:      	normcdf.m, (c) Matthew Roughan, Tue Jul 21 2009
% directory:   /home/mroughan/src/matlab/NUMERICAL_ROUTINES/
% created: 	Tue Jul 21 2009 
% author:  	Matthew Roughan 
% email:   	matthew.roughan@adelaide.edu.au
% 
% INPUTS:
%   x      = a vector of points at which to calculate the normal CDF 
%   mu     = mean of the normal
%   sigma  = std dev. of the normal
%

cdf = 0.5 * erfc(-(x-mu)/(sigma*sqrt(2)));

Highlights from gaussian_mixture_model.m

Highlights from
gaussian_mixture_model.m