Let (X(t)=A(t) sin (omega t+Phi)) where (A(t)) and (Phi) are independent, non-negative random variables for all (t),
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Let \(X(t)=A(t) \sin (\omega t+\Phi)\) where \(A(t)\) and \(\Phi\) are independent, non-negative random variables for all \(t\), and let \(\Phi\) be uniformly distributed over \([0,2 \pi]\).
Verify: If \(\{A(t), t \in(-\infty,+\infty)\}\) is a weakly stationary process, then the stochastic process \(\{X(t), t \in(-\infty,+\infty)\}\) is also weakly stationary.
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Related Book For
Applied Probability And Stochastic Processes
ISBN: 9780367658496
2nd Edition
Authors: Frank Beichelt
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