From 94da049a53423a9aca04d8376b75347ca7eadcbe Mon Sep 17 00:00:00 2001
From: Calvin <calvin@EESI>
Date: Tue, 26 Mar 2013 13:21:36 -0400
Subject: moved FEAST Libraries

---
 FEAST/MIToolbox/RenyiMutualInformation.h | 60 ++++++++++++++++++++++++++++++++
 1 file changed, 60 insertions(+)
 create mode 100644 FEAST/MIToolbox/RenyiMutualInformation.h

(limited to 'FEAST/MIToolbox/RenyiMutualInformation.h')

diff --git a/FEAST/MIToolbox/RenyiMutualInformation.h b/FEAST/MIToolbox/RenyiMutualInformation.h
new file mode 100644
index 0000000..07eff09
--- /dev/null
+++ b/FEAST/MIToolbox/RenyiMutualInformation.h
@@ -0,0 +1,60 @@
+/*******************************************************************************
+** RenyiMutualInformation.h
+** Part of the mutual information toolbox
+**
+** Contains functions to calculate the Renyi mutual information of 
+** two variables X and Y, I_\alpha(X;Y), using the Renyi alpha divergence and 
+** the joint entropy difference
+** 
+** Author: Adam Pocock
+** Created 26/3/2010
+**
+**  Copyright 2010 Adam Pocock, The University Of Manchester
+**  www.cs.manchester.ac.uk
+**
+**  This file is part of MIToolbox.
+**
+**  MIToolbox is free software: you can redistribute it and/or modify
+**  it under the terms of the GNU Lesser General Public License as published by
+**  the Free Software Foundation, either version 3 of the License, or
+**  (at your option) any later version.
+**
+**  MIToolbox is distributed in the hope that it will be useful,
+**  but WITHOUT ANY WARRANTY; without even the implied warranty of
+**  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+**  GNU Lesser General Public License for more details.
+**
+**  You should have received a copy of the GNU Lesser General Public License
+**  along with MIToolbox.  If not, see <http://www.gnu.org/licenses/>.
+**
+*******************************************************************************/
+
+#ifndef __Renyi_MutualInformation_H
+#define __Renyi_MutualInformation_H
+
+#ifdef __cplusplus
+extern "C" {
+#endif 
+
+/*******************************************************************************
+** calculateRenyiMIDivergence returns the log base 2 Renyi mutual information
+** between dataVector and targetVector, I_{\alpha}(X;Y), for \alpha != 1
+** This uses Renyi's generalised alpha divergence as the difference measure
+** instead of the KL-divergence as in Shannon's Mutual Information
+**
+** length(dataVector) == length(targetVector) == vectorLength otherwise there
+** will be a segmentation fault
+*******************************************************************************/
+double calculateRenyiMIDivergence(double alpha, double *dataVector, double *targetVector, int vectorLength);
+
+/* This function returns a different value to the alpha divergence mutual 
+** information, and thus is not a correct mutual information
+double calculateRenyiMIJoint(double alpha, double *dataVector, double *targetVector, int vectorLength);
+*/
+
+#ifdef __cplusplus
+}
+#endif 
+
+#endif
+
-- 
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