Blind Source Separation in Time and Space

There is nowadays an abundance of measurements which are taken at specific locations and / or repeatedly over time. For the resulting multivariate spatial, temporal and spatio-temporal data it can often be assumed that there is a lot of noise in the data and only a few latent signal components carry all the relevant information.

Coordinator: CSTAT, TU Wien

TU Wien team: Klaus Nordhausen, Christoph Muehlmann, Una Radojicic, Peter Filzmoser, Silvia Miksch, Markus Bögl, Nikolaus Piccolotto


Program / Call: FWF Stand-Alone Project

Proposal: P 31881-N32

Funding: Austrian Science Fund (FWF)

Start: 01 April 2019, duration: 36 months, +12 months

Project web page:, öffnet eine externe URL in einem neuen Fenster