📄 dtn_compute_0.cc
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// file: dtn_compute_0.cc//// isip include files//#include "dt_node.h"#include "dt_node_constants.h"// method: compute_likelihood_cc// L= -0,5* num_feat_a*(1+log2*pi)+log(det(covar))*sum_occupancy// s//// arguments:// State** states: (input) all states associated with this node// float_4* occupy: (input) state occupancies// int_4 num_feat: (input) the number of features// int_4 num_mix: (input) the number of mixtures//// return: a float_4 likelihood//float_4 Dt_node::compute_likelihood_cc(State** states_a, float_4* occupy_a, int_4 num_feat_a, int_4 num_mix_a) { likelihood_d = 0.0; float_4 det_covar = 0.0; float_4 sum_occupy = 0; float_4 scale = 0.0; // compute the sum of occupancy // for (int_4 i= 0; i<num_states_d; i++) { sum_occupy += occupy_a[state_index_d[i]]; } // make sure the division is valid // if(sum_occupy != 0) { // compute the covariance of all the states // float_4* covar = new float_4[num_feat_a]; compute_covar_cc(covar, det_covar, scale, states_a, occupy_a, num_feat_a, num_mix_a); // compute the likelihood // likelihood_d = -0.5*(num_feat_a*(1+log(ISIP_TWOPI))+det_covar)*(float_4)sum_occupy; // free memory // delete [] covar; return likelihood_d; } // else return a very small value // else { return MIN_LIKELIHOOD; }}
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