diff --git a/nonlinear-filters/src/gaussian_densities.m b/nonlinear-filters/src/gaussian_densities.m
index 889a5bbe2..f1c595100 100644
--- a/nonlinear-filters/src/gaussian_densities.m
+++ b/nonlinear-filters/src/gaussian_densities.m
@@ -42,11 +42,12 @@ proposal = probability2(mut_t,sqr_Pss_t_t,particles) ;
 prior = probability2(st_t_1,sqr_Pss_t_t_1,particles) ;
 % likelihood
 yt_t_1_i = measurement_equations(particles,ReducedForm,ThreadsOptions) ;
-eta_t_i = bsxfun(@minus,obs,yt_t_1_i)' ;
-yt_t_1 = sum(yt_t_1_i*weigths1,2) ;
-tmp = bsxfun(@minus,yt_t_1_i,yt_t_1) ;
-Pyy = bsxfun(@times,weigths2',tmp)*tmp' + H ;
-sqr_det = sqrt(det(Pyy)) ;
-foo = (eta_t_i/Pyy).*eta_t_i ;
-likelihood = exp(-0.5*sum(foo,2))/(normconst*sqr_det) + 1e-99 ;
+%eta_t_i = bsxfun(@minus,obs,yt_t_1_i)' ;
+%yt_t_1 = sum(yt_t_1_i*weigths1,2) ;
+%tmp = bsxfun(@minus,yt_t_1_i,yt_t_1) ;
+%Pyy = bsxfun(@times,weigths2',tmp)*tmp' + H ;
+%sqr_det = sqrt(det(Pyy)) ;
+%foo = (eta_t_i/Pyy).*eta_t_i ;
+%likelihood = exp(-0.5*sum(foo,2))/(normconst*sqr_det) + 1e-99 ;
+likelihood = probability2(obs,sqrt(H),yt_t_1_i) ;
 IncrementalWeights = likelihood.*prior./proposal ;