- #1
ashah99
- 60
- 2
- Homework Statement
- Please see below from problem statement
- Relevant Equations
- Ergodicity: ensamble mean = time average mean
Hello all, I have a random sequences question and I am mostly struggling with the last part (e) with deriving the marginal pdf. Any help would be greatly appreciated.
My attempt for the other parts a - d is also below, and it would nice if I can get the answers checked to ensure I'm understanding things properly or if I’m off track.
Problem
Attempt
For part (a) I got yes, because the mean is 0 (constant) and the autocorrelation function is independent of time k. I got Rx(m) = 0.5*cos(0.2*pi*m)
For (b) I said yes because all statistics are not dependent on time k.
For (c) both the ensemble and time averages would be 0, and since these are equal it seams yes, Xk is ergodic in the mean.
For (d), I believe it is no, because the autocorrelation function is a periodic sinusoid and goes on infinitely, so the limit as Rx(m) goes to infinity does not exist, i.e. it is not constant and not equal to mu ^2
My attempt for the other parts a - d is also below, and it would nice if I can get the answers checked to ensure I'm understanding things properly or if I’m off track.
Problem
Attempt
For part (a) I got yes, because the mean is 0 (constant) and the autocorrelation function is independent of time k. I got Rx(m) = 0.5*cos(0.2*pi*m)
For (b) I said yes because all statistics are not dependent on time k.
For (c) both the ensemble and time averages would be 0, and since these are equal it seams yes, Xk is ergodic in the mean.
For (d), I believe it is no, because the autocorrelation function is a periodic sinusoid and goes on infinitely, so the limit as Rx(m) goes to infinity does not exist, i.e. it is not constant and not equal to mu ^2