A stochastic process (SP) X(t) is given by X(t) = Asin(ωt + Φ) where A and Φ are independent random variables and Φ is uniformly distributed between 0 and 2π. a) Calculate mean E[X(t)]. b) Calculate the auto-correlation RX (t1,t2). c) Is X(t) wide sense stationary (WSS)? Justify your answer. Now consider that X(t) is a Gaussian SP with mean μX (t) = 0.5 and auto-correlation RX (t1,t2) = 10e−1 4 |t1−t2|. Let Z = X(5) and W = X(9) be the two random variables. d) Calculate var(Z), var(W), and var(Z + W). e) Calculate cov(ZW).
A stochastic process (SP) X(t) is given by X(t) = Asin(ωt + Φ) where A and Φ are independent random variables and Φ is uniformly distributed between 0 and 2π. a) Calculate mean E[X(t)]. b) Calculate the auto-correlation RX (t1,t2). c) Is X(t) wide sense stationary (WSS)? Justify your answer. Now consider that X(t) is a Gaussian SP with mean μX (t) = 0.5 and auto-correlation RX (t1,t2) = 10e−1 4 |t1−t2|. Let Z = X(5) and W = X(9) be the two random variables. d) Calculate var(Z), var(W), and var(Z + W). e) Calculate cov(ZW).
A First Course in Probability (10th Edition)
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ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
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A stochastic process (SP) X(t) is given by
X(t) = Asin(ωt + Φ)
where A and Φ are independent random variables and Φ is uniformly distributed between 0 and 2π.
a) Calculate mean E[X(t)].
b) Calculate the auto-
c) Is X(t) wide sense stationary (WSS)? Justify your answer.
Now consider that X(t) is a Gaussian SP with mean μX (t) = 0.5 and auto-correlation RX (t1,t2) =
10e−1
4 |t1−t2|. Let Z = X(5) and W = X(9) be the two random variables.
d) Calculate var(Z), var(W), and var(Z + W).
e) Calculate cov(ZW).
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