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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