Quinn, Andrew and Hymers, Mark (2020) SAILS::Spectral Analysis In Linear Systems. Journal of open source software. 1982. pp. 1-6. ISSN 2475-9066
Abstract
Autoregressive modelling provides a powerful and flexible parametric approach to modelling uni- or multi-variate time-series data. AR models have mathematical links to linear time- invariant systems, digital filters and Fourier based frequency analyses. As such, a wide range of time-domain and frequency-domain metrics can be readily derived from the fitted au- toregressive parameters. These approaches are fundamental in a wide range of science and engineering fields and still undergoing active development. SAILS (Spectral Analysis in Linear Systems) is a python package which implements such methods and provides a basis for both the straightforward fitting of AR models as well as exploration and development of newer methods, such as the decomposition of autoregressive parameters into eigenmodes.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2020, The Author(s). |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Psychology (York) |
Depositing User: | Pure (York) |
Date Deposited: | 10 Mar 2020 11:40 |
Last Modified: | 16 Oct 2024 16:28 |
Published Version: | https://doi.org/10.21105/joss.01982 |
Status: | Published |
Refereed: | Yes |
Identification Number: | 10.21105/joss.01982 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:158246 |