How Can I Calculate the Power Spectrum for Data in Binary Cellular Automata?

AI Thread Summary
To calculate the power spectrum for data in binary cellular automata, one must understand the Fourier transform of the sampled parameter over time. The power spectrum is defined as I(ω) = ȷf(ω)* ȷf(ω), where ȷf(ω) represents the Fourier component of the function f(t). The calculation involves integrating the function over a specified time interval. A recommended resource for further guidance is a website on power laws. This method is essential for analyzing the strength of frequency vibrations in the data.
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Hello!

I am doing a thesis in ecology using a two dimensional binary cellular automata. I have sampled a parameter for a number of generations and I would like to calculate the power spectrum for this data. I had been planning to use a software for this, but now it seems I have to do it manually.

Does anyone know or have any helpful links to how this can be done?

Grateful for any help,
Jimmy
 
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What kind of function do you have to find spectrum of?

In physics (acoustics, optics), the power spectrum of function f(t) is sometimes called to be the function

<br /> I(\omega) = \tilde f(\omega)^* \tilde f (\omega) ,<br />

measuring the strength of vibrations at frequency \omega.

The function \tilde f (\omega) is the Fourier component of the function f(t) on the time interval 0..T considered:

<br /> \tilde f(\omega) = \frac{1}{T}\int_0^T f(t) e^{-i \omega t} dt.<br />
 
It's a power law function. I found this site that I think will help me:

tuvalu.santafe.edu/~aaronc/powerlaws/

Thanks though for trying to help!
 
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