Hi Felipe,
I understand that you want to average the result of your process over some finite cycles, please refer to the modified code below for achieving the desired results:
% Define the number of cycles you want to average over
X = 100; % Replace with your desired number of cycles
% Initialize arrays to accumulate results
accumulated_Amp = zeros(1, length(Time));
num_cycles = 0;
% Repeat the process X times
for cycle = 1:X
att = 0.05;
plsreflatt = (att * refl)';
% Generate white Gaussian noise
r = randn(size(taxes)) * stdev;
rplsnoise = r + plsreflatt;
[Amp, Time] = xcorr(rplsnoise, transmission);
% Inequalities included to plot values only above 0
Amp = Amp(Time >= 0);
% Accumulate results
accumulated_Amp = accumulated_Amp + Amp;
num_cycles = num_cycles + 1;
end
% Calculate the average
average_Amp = accumulated_Amp / num_cycles;
% Now, you can work with the average_Amp for further analysis or plotting.
Hope this helped,
Regards,
Anurag
