Filter Design and Transformation

Filter Design Tool (Butterworth, Chebyshev, Inverse Chebyshev)

This program allows users to design various types of filters (Low Pass, High Pass, and Band Pass) based on the Butterworth, Chebyshev, and Inverse Chebyshev filter design methods. Built using C++ and Python with a Qt6 GUI, the tool provides an intuitive interface for inputting filter parameters and visualizing results.

The program supports three well-known filter design methods:

• Butterworth Filter: Known for its maximally flat frequency response in the passband.
• Chebyshev Filter: Provides a steeper roll-off compared to Butterworth but introduces ripple in the passband.
• Inverse Chebyshev Filter: Similar to Chebyshev but with ripple in the stopband rather than the passband.

Features:

• Filter Types: Design Low Pass, High Pass, and Band Pass filters.
• Design Methods: Choose from Butterworth, Chebyshev, or Inverse Chebyshev filters.
• Interactive Interface: Input filter parameters (cutoff frequency, order, etc.) via an easy-to-use GUI.
• Graphical Output: View frequency response graphs directly within the application.
• CSV Export: Export filter design data and results to CSV format for further analysis or documentation.

Requirements:

• Qt6 for the graphical user interface.
• C++ and Python for the backend computation.

Step-by-Step Installation:

Clone this repository to your local machine using Git

git clone https://github.com/zahidayturan/filter-design-and-transformation.git

Install Qt6 by following the instructions on the official Qt website: Qt6 Installation Guide

Build the C++ Code. Open a terminal/command prompt and navigate to the project directory. Use CMake to configure and build the project

mkdir build
cd build
cmake ..
make

Install the required Python libraries using pip. Create a virtual environment (optional but recommended) and install the dependencies

Run the Application: Once the application is built, you can run it directly

After the application starts, you can begin designing filters by selecting the filter type, design method, and input parameters.

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