2.12. Given the autocorrelation function for the random phase sinusoid in the previous Problem 2.11 compute the
Question:
2.12. Given the autocorrelation function for the random phase sinusoid in the previous Problem 2.11 compute the 2 x 2 autocorrelation matrix.
v2.13. The autocorrelation sequence of a zero mean white noise process is rv (k) =σ v2δ (k) and the power spectrum is ( ) v2 j
Pv e σ θ = , where 2
σ v is the variance of the process. For the random phase sinusoid the autocorrelation sequence is, rx (m) = A cos(m ) 1 2
2
ω 0 and the power spectrum is,
[ ( ) ( )]
2 1
( ) 0 0 0 0 P e jθ = π A2 u ω −ω + u ω +ω
x where:
u0 (ω −ω 0 ) represents an impulse at frequency ω 0 .
What is the power spectrum of the first-order autoregressive process that has an autocorrelation sequence of, m rx (m) =α
where:
|α| < 1 2.14. Let x[n] be a random process that is generated by filtering white noise w[n] with a first-order LSI filter having a system transfer function of, 1 0.25 1 1
( ) − −
=
z H z If the variance of the white noise is 2w
σ = 1 what is the power spectrum of x[n], Px (z) ? Find the autocorrelation of x[n] from Px (z) .
Step by Step Answer:
Principles Of Adaptive Filters And Self-learning Systems
ISBN: 9781852339845,9781846281211
1st Edition
Authors: Anthony Zaknich