Digital Signal Processing (DSP) — Python

Beginner-friendly repository for small digital signal processing utilities.

Overview

This repository contains a collection of small DSP utilities and exercises implemented in Python. It is structured as a set of task scripts (Task_1..Task_4), helper modules, example input signals, and simple tests. A Streamlit-based GUI launcher is provided in Home.py so you can explore the functionality interactively through a browser.

Use this repo to learn and experiment with basic DSP building blocks: signal arithmetic, normalization, waveform generation, quantization, DFT/IDFT, DC removal, and small test harnesses for each task.

Key features

• Multiply, add and combine signals
• Normalization utilities (range transforms)
• Wave generator (sine/cosine helpers)
• Signal quantization examples (uniform quantization)
• DFT & IDFT helper scripts and example inputs/outputs
• DC component removal
• Streamlit GUI entrypoint (Home.py) to run the demo interactively

Prerequisites

• Python 3.8+ (3.10 or 3.11 recommended)
• Git
• requirements.txt is included for installing dependencies used by the tasks and the GUI (Streamlit and any other libs listed there).

Quickstart — clone, venv, install, run GUI

1. Clone the repository

git clone https://github.com/<your-username>/Digital-Signal-Processing.git
cd Digital-Signal-Processing

2. Create and activate a virtual environment

   • (Linux/macOS)

   python3 -m .venv venv
   source .venv/bin/activate

   • On Windows (PowerShell):

   python -m venv venv
   .\venv\Scripts\Activate.ps1

3. Install dependencies

pip install --upgrade pip
pip install -r requirements.txt

4. Launch the Streamlit GUI

streamlit run Home.py

This will open a browser window (or show a local URL) where you can interact with the available tasks and visualizations.

Project layout (high level)

• Home.py — Streamlit GUI entry point
• signal_framework.py — the main class of signals
• utils.py — utility functions (normalize, add, DFT, etc...)
• pages/ — GUI seperated by task number with Home.py as GUI main entry
• signals/ — input signal examples for each task
• requirements.txt — dependencies

License

This project does not currently include a license file. To make the code usable by others, add a LICENSE (for example, MIT) in the repository root.

Contact / Questions

If you want help extending this project (for example, adding more DFT visualizations, spectrograms, or a packaging step), open an issue describing what you want and I can help implement it.