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SAILS: Spectral Analysis In Linear Systems

Andrew J. Quinn, Mark Hymers

2020The Journal of Open Source Software16 citationsDOIOpen Access PDF

Abstract

Autoregressive modelling provides a powerful and flexible parametric approach to modelling unior 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 timedomain and frequency-domain metrics can be readily derived from the fitted autoregressive 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.

Topics & Concepts

Autoregressive modelComputer scienceFrequency domainPython (programming language)Range (aeronautics)Linear systemAlgorithmParametric statisticsLTI system theoryLinear modelMathematicsStatisticsEngineeringMachine learningAerospace engineeringComputer visionOperating systemMathematical analysisSpectroscopy and Chemometric AnalysesControl Systems and IdentificationNeural Networks and Applications
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