To simulate Gaussian white random process.

(This question has been removed)

[Stephen23]

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[Stephen23]

To simulate Gaussian white random process.

Vinay Ahir on 1st of October 2020 at 15:02:

I have a system where the information arrival to the router of an IOT system is by a channel.

The arrival to this channel is according to a Gaussian white random process X(t) that is N(0, σ = 9) for 2 < t < 5, and 0 elsewhere. I need to simulate and plot 3 data sequences of such arrival, on the range t ∈ (0, 6).

Can you please help me?

Answer 1

[Ameer Hamza]

You can generate the noise vector like this

t = linspace(0, 6, 100); % 100 time samples between 0 and 5
x = zeros(size(t)); % noise vector
idx = 2 < t & t < 5;
x(idx) = randn(1, nnz(idx))*9; % N(0, sigma=9)

or If you have Statistical and Machine learning toolbox

x(idx) = normrnd(0, 9, 1, nnz(idx)); % N(0, sigma=9)

[Vinay Ahir]

Thanks for the Help.