Description
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Write a Python3 function myawgnthat takes in the desiredmygaussPSD (in W/Hz), total band-width, the sampling frequency, and the length of a sequence, and produces an AWGN sequence of the desired length over the given bandwidth. The function should also estimate and plot the PSD of the stochastic process.
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Note that the function randn.mgenerates samples from Gaussian distribution with
mean 0 and variance 1. Write a Python3 functionthat takes an input of (a)
mean vector m 2 R n, (b) Covariance matrix C 2 Rn n, and (c) Number of samples to be generated s, and outputs samples yi, i = 1, . . . , s with yi 2 Rn such that yi’s come from a Gaussian distribution with given mean and covariance.
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