📈 Stockwell Transform Tool for MATLAB

Generic MATLAB / GNU Octave utility for computing and visualising Stockwell spectrograms of multi‑channel time‑series data. The Stockwell Transform is useful in time-frequency analysis, offering high resolution in both domains. This tool is especially helpful for analyzing signals in applications like:

• Cyber-physical systems
• Biomedical signal processing (e.g., EEG, EMG)
• Network traffic analysis
• Mechanical vibrations and audio signals

🚀 Features

• Flexible input — Works on any [channels × samples] matrix.
• Multichannel — Handles any number of signal channels.
• Preprocessing — Detrend + optional normalisation.
• Event markers — Add vertical lines for key timestamps.
• Octave compatible — Tested on Octave and MATLAB.

📂 Files

• apply_stockwell.m: Main script to apply the Stockwell Transform.
• stran.m: MATLAB implementation of the Stockwell Transform.

Requirements

• MATLAB R2018a or newer or GNU Octave 6.0+
• stran.m function must be in the same folder.

Author

Created by Yusef Mahmoud