ssaBSS
Stationary Subspace Analysis
Stationary subspace analysis (SSA) is a blind source separation (BSS) variant where stationary components are separated from non-stationary components. Several SSA methods for multivariate time series are provided here Flumian et al. (2021) Hara et al. (2010) along with functions to simulate time series with time-varying variance and autocovariance Patilea and Raissi(2014).
- Version0.1.1
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Last release12/01/2022
Documentation
Team
Markus Matilainen
Klaus Nordhausen
Show author detailsRolesAuthorSara Taskinen
Lea Flumian
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- Depends5 packages
- Imports2 packages