Signal Equalizer

Project Overview

Signal Equalizer is a Python project designed to process and analyze various types of signal data, including ECG data. The project includes scripts for reading, processing, and visualizing signal data from different sources.

Functionalities

• Reading and processing WAV and CSV files.
• Visualizing signal data with interactive plots.
• Applying Wiener filters for signal enhancement.
• Generating and displaying spectrograms.
• Handling different modes for signal analysis, including Uniform Mode, Musical Mode, Animal Song Mode, and ECG Abnormalities Mode.
• Adding and controlling sliders for frequency range adjustments.
• Playing, pausing, and navigating through audio signals.

Technologies Used

• Python
• PyQt5 for the graphical user interface
• NumPy for numerical operations
• SciPy for signal processing
• Matplotlib for plotting
• PyQtGraph for interactive plots
• SoundFile for reading and writing audio files

Installation

1. Clone the repository:

   git clone https://github.com/HarmoniCode/Signal_Equalizer.git

2. Navigate to the project directory:

   cd Signal_Equalizer

3. Install the required dependencies:

   pip install -r requirements.txt

Usage

To run the main script, use the following command:

python main.py