X(t) is a stationary random process with spectral density S (@). Y(t) is another independent random process, Y(t) = Acos(@t + 0), where e is a random variable uniformly distributed over (-7,7). Find the spectral density function of Z(t) = X(t)Y(t).

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X(1) is a stationary random process with spectral density S (@). Y (t) is another independent
random process, Y(t)= Acos(@t +0), where e is a random variable uniformly distributed
over (-7,7). Find the spectral density function of Z(t) = X(t)Y(t).
Transcribed Image Text:X(1) is a stationary random process with spectral density S (@). Y (t) is another independent random process, Y(t)= Acos(@t +0), where e is a random variable uniformly distributed over (-7,7). Find the spectral density function of Z(t) = X(t)Y(t).
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