diff maths/KLDivergence.h @ 31:dfe38135e4c7

* Add cosine distance and the self-similarity matrix used for SB rhythmic
  similarity
* Pull out SB timbral similarity KL divergence into its own file

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/maths/KLDivergence.h	Fri Jan 18 14:40:20 2008 +0000
@@ -0,0 +1,37 @@
+/* -*- c-basic-offset: 4 indent-tabs-mode: nil -*-  vi:set ts=8 sts=4 sw=4: */
+
+/*
+    QM DSP Library
+
+    Centre for Digital Music, Queen Mary, University of London.
+    This file copyright 2008 QMUL
+    All rights reserved.
+*/
+
+#ifndef KLDIVERGENCE_H
+#define KLDIVERGENCE_H
+
+#include <vector>
+
+using std::vector;
+
+/**
+ * Calculate a symmetrised Kullback-Leibler divergence of Gaussian
+ * models based on mean and variance vectors.  All input vectors must
+ * be of equal size.
+ */
+
+class KLDivergence
+{
+public:
+    KLDivergence() { }
+    ~KLDivergence() { }
+
+    double distance(const vector<double> &means1,
+		    const vector<double> &variances1,
+		    const vector<double> &means2,
+		    const vector<double> &variances2);
+};
+
+#endif
+