dsp-filter-design 0.1.0

An interactive Digital Signal Processing explorer for filter design and analysis.

Digital Signal Processing Explorer

An interactive tool for exploring Analog and Digital filters, poles, zeros, and stability.

For Students

Click here to launch the app. No account or setup required.

For Developers

If you want to host your own copy or modify the code:

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Key Features

🎛️ Interactive Design

• Drag-and-Drop: Move Poles and Zeros on the complex plane and watch the Bode and Impulse plots update instantly.
• Real-Time Feedback: Immediate visualization of Magnitude, Phase, and Time-Domain response.

📈 Advanced Analysis

• Stability Visualization: Toggle between Causal (standard) and Anti-Causal (stable reconstruction from unstable poles) modes.
• Two-Sided Impulse Response:
  • Digital: Moving poles outside $|z|=1$ generates left-sided sequences ($n < 0$).
  • Analog: Moving poles to the Right Half Plane generates negative-time decay ($t < 0$).
• Bode Plot: Logarithmic frequency application for Analog, Linear for Digital (normalized frequency).

🎨 Professional Branding

• LSC Branding: Features a professional scientific color scheme (LSC Blue) and branding.
• Publication Ready: Clean, compact layout suitable for demonstrations and teaching.

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Local Development

This project uses uv for fast, reliable package management.

Prerequisites

• Python 3.9+
• uv installed (curl -LsSf https://astral.sh/uv/install.sh | sh)

Running the App

1. Clone the repository:

   git clone https://github.com/JWKennington/app-dsp-filter-design.git
   cd app-dsp-filter-design
   

2. Sync dependencies:

   uv sync
   

3. Run the application:

   uv run dsp-fd
   

   Open http://127.0.0.1:8050 in your browser.

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Deployment

Docker

A Dockerfile is included for containerized deployment.

docker build -t dsp-fd .
docker run -p 8050:8050 dsp-fd

Render

This repository is configured for immediate deployment on Render.

1. Click the Deploy to Render button above.
2. Connect your GitHub account.
3. Render will automatically build using the Dockerfile and deploy the service.

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License

MIT License. See LICENSE for details.

© 2026 James Kennington.