diff --git a/Virtual Sensing/Remote Microphone Technique/MATLAB/Functions/obsFiltTd.m b/Virtual Sensing/Remote Microphone Technique/MATLAB/Functions/obsFiltTd.m
index aeb51e7376560da0eea1a07cb1765d3b2bec138c..b8744afab0b8d630a7104333b309ca109ed95119 100644
--- a/Virtual Sensing/Remote Microphone Technique/MATLAB/Functions/obsFiltTd.m	
+++ b/Virtual Sensing/Remote Microphone Technique/MATLAB/Functions/obsFiltTd.m	
@@ -3,7 +3,7 @@
 % Author: Achilles Kappis
 % e-mail: axilleaz@protonmail.com
 %
-% Date: 22/01/2025 (DD/MM/YYYY)
+% Date: 26/02/2025 (DD/MM/YYYY)
 %
 % Copyright: MIT
 % --------------------------------------------------
@@ -214,7 +214,7 @@ function [O, Rme, Rmm, Ovec, RmeMtx, RmmMtx, condNum, mMtx, Omean, RmeMean, RmmM
     if nargin > 6 && ~isempty(fs)
         validateattributes(fs, "numeric", {'scalar', 'integer', 'positive', 'nonnan', 'nonempty', 'finite', 'real'}, mfilename, "The sampling frequency", 7);
     else
-        fs = [];
+        fs = 1;
     end
     
 
@@ -223,14 +223,8 @@ function [O, Rme, Rmm, Ovec, RmeMtx, RmmMtx, condNum, mMtx, Omean, RmeMean, RmmM
     % ====================================================
     % Delay the virtual microphone signals
     if sum(logical(delay))
-        if isempty(fs)
-            for jIdx = size(e, 3):-1:1
-                e(:, :, jIdx) = delayseq(e(:, :, jIdx), delay);
-            end
-        else
-            for jIdx = size(e, 3):-1:1
-                e(:, :, jIdx) = delayseq(e(:, :, jIdx), delay, fs);
-            end
+        for jIdx = size(e, 3):-1:1
+            e(:, :, jIdx) = delayseq(e(:, :, jIdx), delay, fs);
         end
     end
 
@@ -244,7 +238,7 @@ function [O, Rme, Rmm, Ovec, RmeMtx, RmmMtx, condNum, mMtx, Omean, RmeMean, RmmM
             tmp = m(:, mIdx, jIdx);
 
             % Calculate the cross-correlations between virtual and monitoring microphones
-            parfor eIdx = 1:size(e, 2)
+            for eIdx = 1:size(e, 2)
                 corr = xcorr(tmp, e(:, eIdx, jIdx), filtLen);
 
                 Rme(:, mIdx, eIdx, jIdx) = corr(filtLen + 1:-1:2);