This program visualizes the discrete linear convolution of two functions using Matplotlib. Users can define custom input functions. The program generates an animation illustrating the convolution process, with the option to halt the animation at specific time steps and save those frames as separate images. Additionally, the full animation, excluding any programmed stops, can be exported as a GIF. The convolution is computed using NumPy.
| Functions to be convolved | During the convolution | After the convolution |
|---|---|---|
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Matplotlib and NumPy are required to run this program. This program is only compatible with Python 3 and above. The animated plot uses the Qt5 GUI and was tested in the Spyder IDE.
Open the .py or the .ipy file in python. Ensure the Qt5 backend is enabled by using the %matplotlib qt5 command in the console. Execute the code section by section changing the functions or parameters where necessary.
Run the following commands:
pip install numpy
pip install matplotlib
python convolution_demo.py
If running a machine that has installations for both Python 2 and Python 3, you may need to run the following instead:
python3 -m pip install numpy
python3 -m pip install matplotlib
python3 convolution_demo.py