2. The received signals can be modeled by x(t)=s(t)+w(t), where s(t) is the desirable signals modeled by a zero-mean Gaussian random process with a Gaussian power spectrum density f2 (PSD) of Ss(f)=√e e 20² and w(t) is the additive white Gaussian noise (AWGN) with zero-mean and average power of Pn. Additionally, s(t) and w(t) are WSS and uncorrelated. (a) Find the autocorrelation function of x(t), (b) find the PSD of x(t), (c) plot both ACF and PSD of x(t) and properly label your plot to indicate Ps, P. and o.

2. The received signals can be modeled by x(t)=s(t)+w(t), where s(t) is the desirable signals modeled by a zero-mean Gaussian random process with a Gaussian power spectrum density f2 (PSD) of Ss(f)=√e e 20² and w(t) is the additive white Gaussian noise (AWGN) with zero-mean and average power of Pn. Additionally, s(t) and w(t) are WSS and uncorrelated. (a) Find the autocorrelation function of x(t), (b) find the PSD of x(t), (c) plot both ACF and PSD of x(t) and properly label your plot to indicate Ps, P. and o.

Introductory Circuit Analysis (13th Edition)

13th Edition

ISBN:9780133923605

Author:Robert L. Boylestad

Publisher:Robert L. Boylestad

Chapter1: Introduction

Section: Chapter Questions

Problem 1P: Visit your local library (at school or home) and describe the extent to which it provides literature...

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