SSB Modulation and Demodulation in Python

Results, Video Animations and Documentation can be found at : https://drive.google.com/drive/folders/1I_Dz20jKApct5Y6c-nPPvggbe1ZjjPep

This project implements and analyzes Single Sideband (SSB) modulation and demodulation using Python. It demonstrates both Hilbert transform and filter-based methods, and includes experiments with noise addition at varying SNR levels.

Features

• SSB modulation via Hilbert transform and cosine-based filtering
• Demodulation using Butterworth filters and coherent detection
• Audio-based experiments with real-time signal playback
• Time and frequency domain visualizations
• Modular and well-structured Python code
• Experiments on noise impact and signal recovery

Tools Used

• Python 3
• NumPy, SciPy (signal processing)
• Matplotlib (visualization)
• Sounddevice (audio playback)

File Structure

• ssb_serena.py – Core signal processing functions
• plot_functions.py – Visualization and animation utilities
• experiments.py – Runs the simulations and experiments

How to Run

Install dependencies:

 pip install numpy scipy matplotlib sounddevice

Run the main file:

python experiments.py

Output

• Saved audio files of modulated and demodulated signals
• Static and animated plots
• Comprehensive technical documentation included