📄 gmm_pdf.m
字号:
%GMM_PDF Multivariate Mixture of Gaussians PDF
%
% Syntax:
% [P,PJX] = GMM_PDF(X,M,S,PJ)
%
% In:
% X - Dx1 value or N values as DxN matrix
% M - DxNC matrix of means.
% S - DxDxNC matrix of covariances
% PJ - Probabilities of mixture components
%
% Out:
% P - Probability of each PX
% PJX - Probabilities P(j|x) for each x[n]
%
% Description:
% Calculate values of PDF (Probability Density
% Function) of multivariate mixture Gaussian
% distribution
%
% p(X) = sum p(j) N(X |燤_j, S_j)
% j
%
% Function returns probability of X in PDF. If multiple
% X's are given (as multiple columns), function returns
% probabilities for each of them.
%
% See also:
% GAUSS_PDF
% History:
% 23.06.2003 The first official version.
%
% Copyright (C) 2003 Simo S鋜kk
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