Introduction

This repository contains the Matlab scripts and data for Figures presented in the article:

INSERT ARTICLE BIBLIOGRAPHY WHEN PUBLISHED

In that article, we overview a signal processing representation called the modulation spectrum. This representation quantifies the rate-of-change of different spectral magnitude components and is shown to separate signal from noise, thus allowing for improved quality measurement, quality enhancement, and noise-robust feature extraction, as well as for disease characterization.

Requirements

The scripts in this repository require:

1. Amplitude Modulation Analysis Toolbox
   Contains funtions to compute the modulation spectrogram
   https://github.com/MuSAELab/amplitude-modulation-analysis-matlab

2. MatPlotLib Perceptually Uniform Colormaps Contans the inferno colormap that was used for the figures
   https://www.mathworks.com/matlabcentral/fileexchange/62729-matplotlib-perceptually-uniform-colormaps

Other references

• AMA: An Open-source Amplitude Modulation Analysis Toolkit for Signal Processing Applications Article and Poster.

• Spectrotemporal Modeling of Biomedical Signals: Theoretical Foundation and Applications Article.