hello sir i want to calculate mean square error for my all possible value for the system how to calculate it ?

k0=1;
ss=[0,1,2,3];
kk=0;
poss=[];
for ii=1:d
  poss=[poss,k0+(ii-1)*(N/d)];
end 

for ii=1:length(poss)
  k1=poss(ii);
  for jj=ii+1:length(poss)
      k2=poss(jj);
        kk=kk+1;
       k_p(kk,:)=[k1,k2];
 A=[1,  1 ; exp(1i*2*pi)*(k1-1)*(ss(2)/N), exp(1i*2*pi)*(k2-1)*(ss(2)/N) ;exp(1i*2*pi)*(k1-1)*(ss(3)/N) , exp(1i*2*pi)*(k2-1)*(ss(3)/N); exp(1i*2*pi)*(k1-1)*(ss(4)/N), exp(1i*2*pi)*(k2-1)*(ss(4)/N)];
  XF=pinv(A)*XD(:,1)

[Walter Roberson]

Your code is not complete. Some end statements are missing.

What is the mean squared error to be calculated relative to? MSE is used for comparison between two things, not by itself.

What are the parts that are allowed to vary for consideration of "all possible values"? I see that d is not defined so should we take it that f is one of the things that can change?

Answer 1

[Image Analyst]

There is a function immse() in the Image Processing Toolbox. But like Walter says, you need two signals.

[irfan]

hello sir i want to calculate the mean square error for every possible value i have signal X with respect to X i want to calculate my mean square error

[Image Analyst]

That would be zero. The MSE of X as compared to X (itself) is, of course, zero.

[irfan]

sir i will send you my code so you help me to calculate the mean square error of all possible values