A toolset of Python programs for signal modeling and indentification via sparse semilinear autoregressors.

Last update: Oct 30, 2021

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Deep Learning SPAAR

Overview

SPAAR

Description

A toolset of Python programs for signal modeling via sparse semilinear autoregressors.

References

Vides, F. (2021). Computing Semilinear Sparse Models for Approximately Eventually Periodic Signals. URL https://github.com/FredyVides/SPAAR/blob/main/Documentation/SpARS_FVides.pdf.
Vides, F. (2021). Sparse system identification by low-rank approximation. CoRR, abs/2105.07522. URL https://arxiv.org/abs/2105.07522.

Owner

Fredy Vides

I am an applied operator theorist conducting research in operator approximation theory and its applications in mathematical modeling and numerical simulation.

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