I have a sum of sine waves with transmission loss applied in a row.
And pwd is 10e-3. Because of this, the residue of the previous pwd remains in the part where the signal is not generated,
blurring the entire signal. My mentor said that I can remove it using auto-correlation.
However, he said to remove it using the filter format instead of using functions such as xcorr.
I don’t understand this part. If there is an expert in this field, please let me know what the intended part is along with the method.
I’ve attached a picture plotting one row of those signals.
If you need any further information, please let me know and I will get back to you as soon as possible.
%sampling F
Fs = 100e3; %

time_step = 1 / Fs;

distance_step = 2 * time_step * soundSpeed;

max_time = min(L_values(:));

pwd = 10e-3;

tt = 0 : time_step : pwd;

F = 1000; %sine wave F

input_sig = sin(2 * pi * F * tt);

round_distance = soundSpeed * dist_time; %soundspeed = 1500(m/s)
TL = 40 * log10(round_distance);

TL_signal = input_sig * 10^(-TL/20);I have a sum of sine waves with transmission loss applied in a row.
And pwd is 10e-3. Because of this, the residue of the previous pwd remains in the part where the signal is not generated,
blurring the entire signal. My mentor said that I can remove it using auto-correlation.
However, he said to remove it using the filter format instead of using functions such as xcorr.
I don’t understand this part. If there is an expert in this field, please let me know what the intended part is along with the method.
I’ve attached a picture plotting one row of those signals.
If you need any further information, please let me know and I will get back to you as soon as possible.
%sampling F
Fs = 100e3; %

time_step = 1 / Fs;

distance_step = 2 * time_step * soundSpeed;

max_time = min(L_values(:));

pwd = 10e-3;

tt = 0 : time_step : pwd;

F = 1000; %sine wave F

input_sig = sin(2 * pi * F * tt);

round_distance = soundSpeed * dist_time; %soundspeed = 1500(m/s)
TL = 40 * log10(round_distance);

TL_signal = input_sig * 10^(-TL/20); I have a sum of sine waves with transmission loss applied in a row.
And pwd is 10e-3. Because of this, the residue of the previous pwd remains in the part where the signal is not generated,
blurring the entire signal. My mentor said that I can remove it using auto-correlation.
However, he said to remove it using the filter format instead of using functions such as xcorr.
I don’t understand this part. If there is an expert in this field, please let me know what the intended part is along with the method.
I’ve attached a picture plotting one row of those signals.
If you need any further information, please let me know and I will get back to you as soon as possible.
%sampling F
Fs = 100e3; %

time_step = 1 / Fs;

distance_step = 2 * time_step * soundSpeed;

max_time = min(L_values(:));

pwd = 10e-3;

tt = 0 : time_step : pwd;

F = 1000; %sine wave F

input_sig = sin(2 * pi * F * tt);

round_distance = soundSpeed * dist_time; %soundspeed = 1500(m/s)
TL = 40 * log10(round_distance);

TL_signal = input_sig * 10^(-TL/20); autocorrelation, correlation, signal, transmissionloss, signalprocessing MATLAB Answers — New Questions

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