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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.