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Performing a Fast Fourier Transform (FFT) by hand involves several steps:

  1. Start with a sequence of numbers representing a time-domain signal.
  2. Arrange the numbers in a specific order to prepare for the FFT calculation.
  3. Divide the sequence into even and odd-indexed elements.
  4. Repeat the process recursively for each half of the sequence until reaching the base case of a single element.
  5. Combine the results of the recursive calculations to obtain the final frequency-domain representation of the signal.

This process can be complex and time-consuming to perform manually, especially for larger datasets. It is more commonly done using software or specialized hardware for efficiency and accuracy.

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Q: Can you provide a step-by-step example of how to perform a Fast Fourier Transform by hand?
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