Consider a stochastic process
Z(t)=X(t)Y(t)
where X(t),
Y(t) are independent and
wide-sense stationary(WSS) . Is Z(t) wide-sense
stationary? Why?
Given
Z(t)=X(t)Y(t), where X(t),
Y(t) are independent and
wide-sense stationary(WSS)
consider
E[Z(t)] = E[X(t)Y(t)]
= E[X(t)] E[Y(t)]
= Constant . Constant
= Constant
Hense Z(t) is a 1st order stationary random process. ------- (1)
Consider
RZZ (t,t+T) = E[Z(t) Z(t+T)]
= E[X(t) Y(t) X(t+T) Y(t+T)]
= E[X(t) X(t+T)] E[Y(t) Y(t+T)]
= RXX(T).Ryy(T)
= Rzz(T)
Hense Z(t) is a 2nd order stationary random process. ------ (2)
From equations (1) and (2) we can clearly say that if,Z(t)=X(t)Y(t) then Z(t) wide-sense stationary.
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