Thanks Stephen, that solves the problem ,
anyway it means that we don't know what happens when we add IID RV (say: mean=0, var=1, unknown pdf) to a gaussian pdf (mean=0, var=1). should the resultng pdf remain a gaussian with var=2. thanks again
hi well i have say N number of samples and it can be assumed to be large. actually its a standard detection problem in signal processing , when you are looking for the presence or absence of a signal . H0 means that the signal is not there and the variance of data is say sigma0 and under H1 when...
Hi all
1) When we are performing detection , and we have received this y(n)=x(n)+z(n) for n=0,1,2,3..., where z is gaussian noise, but about x(n) we don't know its distribution , all we know that it is I.I.D. random variable with zero mean and fxed given variance. Now my question is can we...