Let Xt X + nt Y₁ = μ+t-1 Vet Zt = := with A, ER and where {et} {n} are independent white noise processes with {e} ~ WN(0, 0²), and {n}~ WN(0,02). Find ex- pressions for the following in terms of model parameters and where possible use notation of Kronecker-Delta functions: (c) cov(Zt, Yt-k), for all k.

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Chapter1: Starting With Matlab
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Let
Xt :=
Yt :=
Zt :=
X + Nt
μl + €t-1
Vet
with A, ER and where {e} {n} are independent white noise
processes with {e} ~ WN(0, 0²), and {n} ~ WN(0,02). Find ex-
pressions for the following in terms of model parameters and where
possible use notation of Kronecker-Delta functions:
(c) cov(Zt, Yt-k), for all k.
Transcribed Image Text:Let Xt := Yt := Zt := X + Nt μl + €t-1 Vet with A, ER and where {e} {n} are independent white noise processes with {e} ~ WN(0, 0²), and {n} ~ WN(0,02). Find ex- pressions for the following in terms of model parameters and where possible use notation of Kronecker-Delta functions: (c) cov(Zt, Yt-k), for all k.
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