how to Create random signal
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random signal how to
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the cyclist
on 13 Jul 2015
There are many types of random signals. You need to be more specific. For example, I assume that the wind (red points) is autocorrelated in some way, and that the load (blue points) is correlated with the wind. Can you provide some details about that?
Accepted Answer
Star Strider
on 13 Jul 2015
With the information from your latest Comment, one possibility is:
t = 0:200;
smax = 1.5;
smin = -0.8;
s = smin + (smax-smin)*rand(1,length(t));
figure(1)
plot(t, s)
grid
7 Comments
Star Strider
on 14 Jul 2015
Apologise for the delay — life intrudes.
I believe you intend ‘transfer function’.
To use it with the signal I programmed, you will have to create a discrete expression of your transfer function, from ‘s’ to ‘z’. I would use the bilinear transform. Then use the filtfilt function for the actual filtering. (Your transfer function would actually be a filter in this instance.) If you have the Signal Processing Toolbox, all this is relatively straightforward but will take some time to learn if you are not familiar with it.
The MATLAB documentation, along with most signal processing textbooks, go into sufficient detail to allow you to do the conversion to the discrete form of your filter and the subsequent filtering relatively easily. It is much too involved for me to go into here, so I will refer you to the documentation and your textbooks.
More Answers (3)
Azzi Abdelmalek
on 13 Jul 2015
Create a mat file like this one
t=0:0.1:10
y=rand(1,numel(t))
ty=[t;y]
save filename ty
2 Comments
ali al-khayyat
on 24 Aug 2019
Can you please generate triangle or carrier signal starts from 0 to 60 degree and stops and then starts from 120 to 180 and then repeat itself, either by coding or simulink, please?
the cyclist
on 24 Aug 2019
This question and answer are over 4 years old. I suggest you open a new question.
Muhammad Tayyab
on 29 Jan 2021
𝑋(𝑡)=𝐴𝑐𝑜𝑠(2𝜋𝑓𝑐𝑡+Θ)+𝑊(𝑡)
i want to generate this signal. kind help required
2 Comments
Muhammad Tayyab
on 29 Jan 2021
𝑋(𝑡)=𝐴𝑐𝑜𝑠(2𝜋𝑓𝑐𝑡+Θ)+𝑊(𝑡)
Θ uniformly random [-pi, pi]
W(𝑡) is Guassian with mu=0 & sigma=No/2
Les Beckham
on 30 Jan 2021
You should really open a new question instead of inserting your question as an answer to a 6 year old question.
Also, read this:https:https://www.mathworks.com/matlabcentral/answers/6200-tutorial-how-to-ask-a-question-on-answers-and-get-a-fast-answer
If you provide the code that you have written to try to solve your problem and show us what errors you get when your run it, you are likely to get someone to help you fix it. If you appear to be asking us to do all of the work for you, you will be less likely to get help.
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