Fourier Transform Code

This repository contains a Python script for performing Fourier Transforms on a given signal and visualizing the results using matplotlib.

Requirements

Before using this code, make sure you have the following libraries installed:

• numpy
• matplotlib
• scipy

You can install these libraries using pip:

pip install numpy matplotlib scipy

Usage

1. Clone this repository to your local machine.

git clone https://github.com/votre-utilisateur/votre-repo.git

2. Navigate to the project directory.

cd votre-repo

3. Run the script.

python FourierTransform.py

4. You will see two plots: one displaying the magnitude of the Fourier Transform, and another showing the original signal and the reconstructed signal.

Customization

You can customize the input signal by modifying the signal function in the script. Additionally, you can adjust the start time, end time, and sample rate in the if __name__ == '__main__': section to analyze different signals.

Example

In the provided script, we have used a simple sine wave as the input signal. You can replace it with your own signal function for analysis.

signal = lambda t : np.sin(np.sin(t*3))

License

This code is available under the MIT License. Feel free to use and modify it for your needs.

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Enjoy using this Fourier Transform code for signal analysis! If you have any questions or feedback, please open an issue or reach out to [your email or contact information].

N'oubliez pas de personnaliser les sections avec vos informations, telles que le nom d'utilisateur de votre dépôt, le nom du script, et les informations de contact.