I want to find the filtered signal and remove the noise from the discrete received signal from the radar and convirte it to continuos

I want to find the filtered signal and remove the noise from the discrete received signal from the radar and convirte it to continuos but when i try to convert an error meassge apper and the filtered signal dosen't meake sence because the threshold is small compearing withe the magitude of the signal

% import the signal received 
D= load('Cp2Data1.mat');

Error using load
Unable to find file or directory 'Cp2Data1.mat'.

rec= D.r;
% plot the data
plot(rec);
xlabel('n');
ylabel('rec(n)');
title('recived signal');
% becuase we have white gous we find the aouto corrolation to find the mean
% and standard devison 
filt= filter2(rec,rec,'same');
% we take the first 2000 sample to determine the threshold 
d= datasample(filt,2000);
m= mean(d);
s= std(d);
% given that PF=10^-3
PF= 10^-3;
q= qfuncinv(PF); 
% we calculate t= mean+ standard devison*q where t is the threshold
t= m+s*q;
% we use filter2 to filter the recived signal and find the important data
k= 0:199;
K=1000*sin(0.1*pi*k);
% then we corrolate the recived signal with the
filtered= filter2(K,rec,'same');
con_filtered= c2d(filtered,0.1);
 plot(con_filtered);
 hold on 
yline(t);

Error using c2d (line 52)
Not enough input arguments.

Error in HW EE301 (line 26)
con_filtered= c2d(filtered,0.1);

Thanks

[Jan]

Please edit the question and attach a copy of the complete error message.

[Jan]

@Abdullah Alaqal: The error message tells you, that the function c2d() requires more input arguments.But the documentation looks, like 2 inputs are sufficient.

Answer 1

[Paul]

c2d (Control System Toolbox) or c2d (System Identification Toolbox) requires the first input be a dynamic system model. As far as I can tell the variable 'filtered' is just data.

What is the intended operation on the data? Perhaps there is a different function that should be used.