mcsm-benchs: A Toolbox for Benchmarking Multi-Component Signal Analysis MethodsA public, open-source, Python-based toolbox for benchmarking multi-component signal analysis methods, implemented either in Python or MATLAB/Octave.
The goal of this toolbox is providing the signal-processing community with a common framework that allows researcher-independent comparisons between methods and favors reproducible research.
This GitHub template can be used to create your own collaborative benchmarks.
:pushpin: We use oct2py to run Octave-based methods in Python.
:pushpin: We use matlabengine to run MATLAB-based methods in Python.
:pushpin: We use plotly to create online, interactive plots.
FAQs
mcsm-benchs: A benchmarking toolbox for Multi-Component Signal Methods.
We found that mcsm-benchs demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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