SignalLab — Educational Signal Analyzer

An interactive signal visualization tool built with Scilab, Python Flask, and HTML/CSS. Users can visualize and analyze Sine, Cosine, Square, and Sawtooth waveforms in real time through a clean web interface — with live signal statistics and a Scilab-powered computation engine.

Submitted to the FOSSEE Scilab GUIVerse Hackathon 2026 — organised by IIT Bombay.

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What it does

SignalLab allows students and engineers to visualize and analyze different types of signals interactively through a clean web interface. Users can control signal parameters in real time and instantly see the generated waveform along with key signal statistics.

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Signals Supported

• Sine Wave
• Cosine Wave
• Square Wave
• Sawtooth Wave

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Features

• Interactive sliders for Frequency (1–50 Hz), Amplitude (1–10), and Duration (1–5s)
• Real-time signal plot generated by Scilab
• Signal statistics — Frequency, Period, Peak Amplitude, RMS Value
• Clean dark minimalist web interface
• Scilab-powered computation engine

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Screenshots

Sine Wave

Cosine Wave

Square Wave

Sawtooth Wave

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Tech Stack

Layer	Technology
Signal Computation	Scilab 2026.1.0
Backend Server	Python Flask
Frontend	HTML, CSS, JavaScript

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Requirements

• Scilab 2026.1.0 — download from scilab.org
• Python 3.x
• Flask — pip install flask

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How to Run

Step 1 — Clone the repository:

git clone https://github.com/sanjayy-r/SignalLab.git
cd SignalLab

Step 2 — Install dependencies:

pip install flask

Step 3 — Update Scilab path in app.py:

Open app.py and update this line to match your Scilab installation path:

SCILAB_PATH = r"C:\Program Files\scilab-2026.1.0\bin\scilab.bat"

Step 4 — Run the app:

python app.py

Step 5 — Open browser:

http://127.0.0.1:5000

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Project Structure

SignalLab/
├── SignalLab_Engine.sce    — Scilab computation engine
├── app.py                  — Flask backend server
├── templates/
│   └── index.html          — Frontend interface
├── static/
│   └── style.css           — Styling
├── outputs/                — Generated plots and screenshots
└── README.md

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How it Works

1. User selects signal type and adjusts parameters via sliders
2. Browser sends parameters to Flask backend
3. Flask generates a Scilab script and runs it
4. Scilab computes the signal and saves the plot as PNG
5. Flask serves the PNG back to the browser
6. Signal statistics are calculated and displayed

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Developed By

Sanjay R — B.Tech ECE, VIT Chennai
GitHub: sanjayy-r

Submitted to the FOSSEE Scilab GUIVerse Hackathon 2026 — organised by IIT Bombay.

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References

• Scilab Documentation
• FOSSEE Project — IIT Bombay
• Flask Documentation