Let {X(t), t = R} and {Y(t), t ≤ R} be two independent random processes. Let Z(t) be defined as Z(t) = X(t)Y(t), for all t = R. Prove the following statements: a. μz(t) = μx (t)μy (t), for all tER. b. Rz(t1, t₂) = Rx (t₁, t2) Ry (t₁, t2), for all t = R. c. If X(t) and Y(t) are WSS, then they are jointly WSS. d. If X(t) and Y(t) are WSS, then Z(t) is also WSS. e. If X(t) and Y(t) are WSS, then X(t) and Z(t) are jointly WSS.

Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter10: Sequences, Series, And Probability
Section10.8: Probability
Problem 31E
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Problem 5
Let {X(t), t ≤ R} and {Y(t), t ≤ R} be two independent random processes. Let Z(t) be defined
as
Z(t) = X(t)Y(t), for all t = R.
Prove the following statements:
a. μz(t) = μx (t) uy (t), for all tER.
b. Rz(t₁, t2) = Rx (t₁, t2) Ry (t₁, t2), for all t = R.
c. If X(t) and Y(t) are WSS, then they are jointly WSS.
d. If X(t) and Y(t) are WSS, then Z(t) is also WSS.
e. If X(t) and y(t) are WSS, then X(t) and Z(t) are jointly WSS.
Transcribed Image Text:Problem 5 Let {X(t), t ≤ R} and {Y(t), t ≤ R} be two independent random processes. Let Z(t) be defined as Z(t) = X(t)Y(t), for all t = R. Prove the following statements: a. μz(t) = μx (t) uy (t), for all tER. b. Rz(t₁, t2) = Rx (t₁, t2) Ry (t₁, t2), for all t = R. c. If X(t) and Y(t) are WSS, then they are jointly WSS. d. If X(t) and Y(t) are WSS, then Z(t) is also WSS. e. If X(t) and y(t) are WSS, then X(t) and Z(t) are jointly WSS.
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