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view m-toolbox/classes/+utils/@math/corr2cov.m @ 0:f0afece42f48
Import.
author | Daniele Nicolodi <nicolodi@science.unitn.it> |
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date | Wed, 23 Nov 2011 19:22:13 +0100 |
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % CORR2COV % Convert correlartion matrix to covariance matrix % % SigC Vector of length n with the standard deviations of each process. n % is the number of random processes. % % CorrC n-by-n correlation coefficient matrix. If ExpCorrC is not % specified, the processes are assumed to be uncorrelated, and the identity % matrix is used. % % Algorithm % % Covar(i,j) = CorrC(i,j)*(SigmC(i)*SigmC(j) % % L Ferraioli 10-10-2010 % % $Id: corr2cov.m,v 1.1 2010/11/16 16:41:37 luigi Exp $ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% function Covar = corr2cov(CorrC,SigC) Covar = CorrC; for tt=1:size(CorrC,1) for hh=1:size(CorrC,2) Covar(tt,hh) = CorrC(tt,hh)*SigC(tt)*SigC(hh); end end end