This project is aimed at creating an interactive program for visualizing the Fourier series decomposition of a given function with a GUI developed using PyQt. Fourier series decomposition allows representing periodic functions as a sum of sinusoidal components, making it valuable in signal processing, image compression, and various scientific applications.
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main.py: Main entry point for the application. Launches the QApplication and runs the FourierSeriesApp. -
safe_dict.py: Contains the function to create a dictionary with safe math functions for expression evaluation. -
mpl_widget.py: Custom QWidget for embedding Matplotlib figures in PyQt5 applications. -
fourier_series.py: Handles Fourier series visualization, including the evaluation of Fourier series components. -
visualize.py: Implements the FourierSeriesApp class, responsible for handling the GUI and launching the application. -
window.py: Defines the Window class, which sets up the main GUI layout using PyQt5.
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Run
main.pyto launch the Fourier Series Visualization application. -
Input the required parameters in the GUI, such as expressions for a0, an, and bn, modulation, time interval, etc.
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Click the "Plot" button to visualize the Fourier series based on the provided parameters.
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Exit the application using the "Exit" button.
The project relies on the following libraries:
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PyQt5: A set of Python bindings for Qt libraries, used for creating the graphical user interface.
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Matplotlib: A plotting library for the Python programming language, used to visualize the Fourier series.
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NumPy: A powerful library for numerical operations, providing support for array manipulations in this project.
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The code is modularized for better organization and readability.
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Docstrings and comments have been added to explain the purpose of classes, methods, and code blocks.
👤 Aras Güngöre
- LinkedIn: @arasgungore
- GitHub: @arasgungore