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root/adcp/trunk/adcp/diwasp_1_1GD/private/gsamp.m

Revision 168 (checked in by cbc, 16 years ago)

Adding diwasp customizations.

Line 
1 function x = gsamp(mu, covar, nsamp)
2 %GSAMP  Sample from a Gaussian distribution.
3 %
4 %       Description
5 %
6 %       X = GSAMP(MU, COVAR, NSAMP) generates a sample of size NSAMP from a
7 %       D-dimensional Gaussian distribution. The Gaussian density has mean
8 %       vector MU and covariance matrix COVAR, and the matrix X has NSAMP
9 %       rows in which each row represents a D-dimensional sample vector.
10 %
11 %       See also
12 %       GAUSS, DEMGAUSS
13 %
14
15 %       Copyright (c) Christopher M Bishop, Ian T Nabney (1996, 1997)
16
17 d = size(covar, 1);
18
19 mu = reshape(mu, 1, d);   % Ensure that mu is a row vector
20
21 [evec, eval] = eig(covar);
22
23 coeffs = randn(nsamp, d)*sqrt(eval);
24
25 x = ones(nsamp, 1)*mu + coeffs*evec';
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