== 12 Let the process Yд be defined by Y = X + αX-1 where X, is a white noise process (X is a sequence of uncorrelated random variables with zero mean and variance σ2) with autocorrelation R₁(k) so, k=0 5x (S(K) Ο k = 0 and power spectral density S₁₂ (f) =σ², -12-5-½ a) Find the power spectral density, Sy(f), of Y, 11 E[XY] =0 E[X] - FEDO-> E[XY) EDGED]

A First Course in Probability (10th Edition)
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Chapter1: Combinatorial Analysis
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12
Let the process Yд be defined by Y = X + αX-1 where X, is a white noise
process (X is a sequence of uncorrelated random variables with zero mean
and variance σ2) with autocorrelation
R₁(k)
so, k=0
5x (S(K)
Ο
k = 0
and power spectral density
S₁₂ (f) =σ²,
-12-5-½
a) Find the power spectral density, Sy(f), of Y,
11 E[XY] =0
E[X] - FEDO->
E[XY) EDGED]
Transcribed Image Text:== 12 Let the process Yд be defined by Y = X + αX-1 where X, is a white noise process (X is a sequence of uncorrelated random variables with zero mean and variance σ2) with autocorrelation R₁(k) so, k=0 5x (S(K) Ο k = 0 and power spectral density S₁₂ (f) =σ², -12-5-½ a) Find the power spectral density, Sy(f), of Y, 11 E[XY] =0 E[X] - FEDO-> E[XY) EDGED]
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