MODULO: A software for Multiscale Proper Orthogonal Decomposition of data

In the era of the Big Data revolution, methods for the automatic discovery of regularities in large datasets are becoming essential tools in applied sciences. This article presents an open software package, named MODULO (MODal mULtiscale pOd), to perform the Multiscale Proper Orthogonal Decomposition (mPOD) of numerical and experimental data. This novel decomposition combines Multi-resolution Analysis (MRA) and standard Proper Orthogonal Decomposition (POD) to allow for the optimal compromise between decomposition convergence and spectral purity of its modes. The software is equipped with a Graphical User Interface (GUI) and enriched by numerous examples and video tutorials (see Youtube channel MODULOmPOD). The MATLAB source codes and an executable for Windows users can be downloaded at https://github.com/mendezVKI/MODULO/releases; a collections of exercises in Matlab and Python are provided in https: github.com/mendezVKI/MODUL. (C) 2020 The Author(s). Published by Elsevier B.V.