Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

[Statistics question]: Fourier transform #22

Open
haesleinhuepf opened this issue Oct 17, 2024 · 1 comment
Open

[Statistics question]: Fourier transform #22

haesleinhuepf opened this issue Oct 17, 2024 · 1 comment
Assignees

Comments

@haesleinhuepf
Copy link
Owner

Question:

I need a Jupyter notebook that explains how the Fourier transform works. All plots in there should be saved as png file.

Python Tools

  • List of Python libraries we should use for answering this:
    • numpy
    • scipy
    • seaborn

Note: Your images and the text you enter here may be sent to OpenAI's online service where we use a large language model to answer your request.
Do not upload any data you cannot share openly. Also do not enter any private or secret information. By submitting this Github issue, you confirm that you understand these conditions.

Once submitted, @haesleinhuepf will review and consult git-bob, an AI-assistant for suggestions.

git-bob try to do this

@haesleinhuepf haesleinhuepf self-assigned this Oct 17, 2024
Copy link
Contributor

This message was generated by git-bob (version: 0.9.2, model: gpt-4o-2024-08-06, log), an experimental AI-based assistant. It can make mistakes and has limitations. Check its messages carefully.

A Jupyter notebook titled fourier_transform_explanation.ipynb was created to explain the Fourier Transform. The notebook includes code to generate a time-domain signal, apply the Fast Fourier Transform (FFT), and plot the results. Two PNG files, and , were generated and saved to depict the time domain signal and the frequency domain spectrum, respectively.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

1 participant