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LucasPlant/DSPVis

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App README

DSPVis - Digital Signal Processing Visualization

A web-based application for visualizing and exploring digital signal processing (DSP) concepts interactively. Built with Dash and Plotly, DSPVis provides an intuitive interface for understanding complex DSP operations through real-time visualization.

Features

—Interactive Visualizations: Real-time DSP concept demonstrations
—Sampling & Windowing: Explore sampling theory and

Live Demo

Try it on Hugging Face Spaces

Local Installation

Prerequisites

—Python 3.8 or higher
—pip or conda

Setup

1.Clone the repository:

bash

git clone https://github.com/LucasPlant/DSPVis.git
cd DSPVis

1.Install dependencies:

bash

pip install -r requirements.txt

1.Run the application:

bash

python app.py

The application will be available at http://localhost:8050

Requirements

—dash>=2.14.0 - Web framework for building interactive dashboards
—plotly>=5.18.0 - Interactive visualization library
—numpy>=1.24.0 - Numerical computing library

Project Structure

DSPVis/
├── app.py                    # Main application entry point
├── pages/
│   ├── home.py              # Home page
│   └── sampling_windowing.py # Sampling & windowing demonstrations
├── assets/
│   └── style.css            # Custom CSS styles
├── requirements.txt         # Python dependencies
├── LICENSE                  # MIT License
└── README.md               # This file

Usage

Navigate through different DSP concepts using the sidebar menu. Each page offers interactive controls to explore various signal processing operations and their effects.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Author

Lucas Plant - GitHub

Contributing

Contributions are welcome! Feel free to open issues or submit pull requests to improve the application.