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view toolboxes/FullBNT-1.0.7/KPMstats/KLgauss.m @ 0:cc4b1211e677 tip
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author | Daniel Wolff |
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date | Fri, 19 Aug 2016 13:07:06 +0200 |
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function kl = KLgauss(P, Q) %The following computes D(P||Q), the KL divergence between two zero-mean %Gaussians with covariance P and Q: % klDiv = -0.5*(log(det(P*inv(Q))) + trace(eye(N)-P*inv(Q))); R = P*inv(Q); kl = -0.5*(log(det(R))) + trace(eye(length(P))-R); %To get MI, just set P=cov(X,Y) and Q=blockdiag(cov(X),cov(Y)).