📄 entropy.c
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/* * * QccPack: Quantization, compression, and coding libraries * Copyright (C) 1997-2009 James E. Fowler * * This library is free software; you can redistribute it and/or * modify it under the terms of the GNU Library General Public * License as published by the Free Software Foundation; either * version 2 of the License, or (at your option) any later version. * * This library 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 * Library General Public License for more details. * * You should have received a copy of the GNU Library General Public * License along with this library; if not, write to the * Free Software Foundation, Inc., 675 Mass Ave, Cambridge, * MA 02139, USA. * */#include "libQccPack.h"double QccENTEntropy(const QccVector probs, int num_symbols){ int symbol; double sum = 0.0; for (symbol = 0; symbol < num_symbols; symbol++) if (probs[symbol] > 0.0) sum -= probs[symbol] * log(probs[symbol]); return(sum/log((double)2.0));}double QccENTJointEntropy(const QccMatrix probs_array, int num_symbols1, int num_symbols2){ int symbol2; int symbol1; double sum = 0.0; for (symbol1 = 0; symbol1 < num_symbols1; symbol1++) for (symbol2 = 0; symbol2 < num_symbols2; symbol2++) if (probs_array[symbol1][symbol2] > 0.0) sum -= probs_array[symbol1][symbol2] * log(probs_array[symbol1][symbol2]); return(sum/log((double)2.0));}double QccENTConditionalEntropy(const QccMatrix probs_array, int num_contexts, int num_symbols){ QccVector conditional_probs = NULL; double entropy = 0.0; int symbol; int context; double marginal_prob; double return_value; if ((conditional_probs = QccVectorAlloc(num_symbols)) == NULL) { QccErrorAddMessage("(QccENTConditionalEntropy): Error calling QccVectorAlloc()"); goto Error; } for (context = 0; context < num_contexts; context++) { marginal_prob = QccVectorSumComponents(probs_array[context], num_symbols); for (symbol = 0; symbol < num_symbols; symbol++) conditional_probs[symbol] = probs_array[context][symbol] / marginal_prob; entropy += marginal_prob * QccENTEntropy(conditional_probs, num_symbols); } return_value = entropy; goto Return; Error: return_value = -1.0; goto Return; Return: QccVectorFree(conditional_probs); return(return_value);}
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