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MCS,PHD
Argosy University/ Phoniex University/
Nov-2005 - Oct-2011
Professor
Phoniex University
Oct-2001 - Nov-2016
Consider the noise cancelation task described in Example 4.1. Write the necessary code to solve the problem using MATLAB according to the following steps: (a) Create 5000 data samples of the signal sn = cos(ω0n), for ω0 = 2 × 10−3π. (b) Create 5000 data samples of the AR process v1(n) = a1 · v1(n − 1) + ηn (initializing at zero), where ηn represents zero mean Gaussian noise with variance σ2 η = 0.0025 and a1 = 0.8. (c) Add the two sequences (i.e., dn = sn + v1(n)) and plot the result. This represents the contaminated signal. (d) Create 5000 data samples of the AR process v2(n) = a2v2(n − 1) + ηn (initializing at zero), where ηn represents the same noise sequence and a2 = 0.75. (e)
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