diff --git a/matlab/DSMH_sampler.m b/matlab/DSMH_sampler.m
index b5231d28a..fdba5160c 100644
--- a/matlab/DSMH_sampler.m
+++ b/matlab/DSMH_sampler.m
@@ -1,5 +1,5 @@
 function DSMH_sampler(TargetFun,xparam1,mh_bounds,dataset_,dataset_info,options_,M_,estim_params_,bayestopt_,oo_)
-% function DSMH_sampler(TargetFun,xparam1,mh_bounds,dataset_,dataset_info,options_,M_,estim_params_,bayestopt_,oo_)
+
 % Dynamic Striated Metropolis-Hastings algorithm.
 %
 % INPUTS
@@ -33,7 +33,7 @@ function DSMH_sampler(TargetFun,xparam1,mh_bounds,dataset_,dataset_info,options_
 % Then the comments write here can be used for all the other pairs of
 % parallel functions and also for management functions.
 
-% Copyright (C) 2006-2021 Dynare Team
+% Copyright © 2006-2022 Dynare Team
 %
 % This file is part of Dynare.
 %
diff --git a/matlab/Herbst_Schorfheide_sampler.m b/matlab/Herbst_Schorfheide_sampler.m
index 2c29de4a5..b73b8f87b 100644
--- a/matlab/Herbst_Schorfheide_sampler.m
+++ b/matlab/Herbst_Schorfheide_sampler.m
@@ -33,7 +33,7 @@ function Herbst_Schorfheide_sampler(TargetFun,xparam1,mh_bounds,dataset_,dataset
 % Then the comments write here can be used for all the other pairs of
 % parallel functions and also for management functions.
 
-% Copyright (C) 2006-2021 Dynare Team
+% Copyright © 2006-2022 Dynare Team
 %
 % This file is part of Dynare.
 %
diff --git a/matlab/SMC_resampling.m b/matlab/SMC_resampling.m
index bac7eeac0..750eec105 100644
--- a/matlab/SMC_resampling.m
+++ b/matlab/SMC_resampling.m
@@ -1,11 +1,30 @@
-function indx = smc_resampling(weights,noise,number)
-    indx = zeros(number,1);
-    cumweights = cumsum(weights);
-    randvec = (transpose(1:number)-1+noise(:))/number;
-    j = 1;
-    for i=1:number
-        while (randvec(i)>cumweights(j))
-            j = j+1;
-        end
-        indx(i) = j;
+function indx = SMC_resampling(weights,noise,number)
+
+% Copyright © 2022 Dynare Team
+%
+% This file is part of Dynare.
+%
+% Dynare is free software: you can redistribute it and/or modify
+% it under the terms of the GNU General Public License as published by
+% the Free Software Foundation, either version 3 of the License, or
+% (at your option) any later version.
+%
+% Dynare 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 General Public License for more details.
+%
+% You should have received a copy of the GNU General Public License
+% along with Dynare.  If not, see <https://www.gnu.org/licenses/>.
+
+
+indx = zeros(number,1);
+cumweights = cumsum(weights);
+randvec = (transpose(1:number)-1+noise(:))/number;
+j = 1;
+for i=1:number
+    while (randvec(i)>cumweights(j))
+        j = j+1;
     end
+    indx(i) = j;
+end
diff --git a/matlab/SMC_samplers_initialization.m b/matlab/SMC_samplers_initialization.m
index 4f998926b..a4a90acbf 100644
--- a/matlab/SMC_samplers_initialization.m
+++ b/matlab/SMC_samplers_initialization.m
@@ -28,7 +28,7 @@ function [ ix2, temperedlogpost, loglik, bayestopt_] = ...
 % SPECIAL REQUIREMENTS
 %   None.
 
-% Copyright (C) 2006-2017 Dynare Team
+% Copyright © 2006-2022 Dynare Team
 %
 % This file is part of Dynare.
 %
diff --git a/matlab/particles b/matlab/particles
index 494248828..d71f8be6e 160000
--- a/matlab/particles
+++ b/matlab/particles
@@ -1 +1 @@
-Subproject commit 494248828735d762052877abc264d305146c366f
+Subproject commit d71f8be6e777fd3e08f1ab2cb74bbf9621ad2d8e
diff --git a/matlab/tempered_likelihood.m b/matlab/tempered_likelihood.m
index 4af11080a..af9e8626d 100644
--- a/matlab/tempered_likelihood.m
+++ b/matlab/tempered_likelihood.m
@@ -1,5 +1,23 @@
-    function [tlogpostkern,loglik] = tempered_likelihood(TargetFun,xparam1,lambda,dataset_,dataset_info,options_,M_,estim_params_,bayestopt_,bounds,oo_)
-       logpostkern = -feval(TargetFun,xparam1,dataset_,dataset_info,options_,M_,estim_params_,bayestopt_,bounds,oo_);
-       logprior = priordens(xparam1,bayestopt_.pshape,bayestopt_.p6,bayestopt_.p7,bayestopt_.p3,bayestopt_.p4);
-       loglik = logpostkern-logprior ;
-       tlogpostkern = lambda*loglik + logprior;
+function [tlogpostkern,loglik] = tempered_likelihood(TargetFun,xparam1,lambda,dataset_,dataset_info,options_,M_,estim_params_,bayestopt_,bounds,oo_)
+
+% Copyright © 2022 Dynare Team
+%
+% This file is part of Dynare.
+%
+% Dynare is free software: you can redistribute it and/or modify
+% it under the terms of the GNU General Public License as published by
+% the Free Software Foundation, either version 3 of the License, or
+% (at your option) any later version.
+%
+% Dynare 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 General Public License for more details.
+%
+% You should have received a copy of the GNU General Public License
+% along with Dynare.  If not, see <https://www.gnu.org/licenses/>.
+
+logpostkern = -feval(TargetFun,xparam1,dataset_,dataset_info,options_,M_,estim_params_,bayestopt_,bounds,oo_);
+logprior = priordens(xparam1,bayestopt_.pshape,bayestopt_.p6,bayestopt_.p7,bayestopt_.p3,bayestopt_.p4);
+loglik = logpostkern-logprior ;
+tlogpostkern = lambda*loglik + logprior;