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Project
Numerical algorithms for tensor decompositions and applications.
The basic outline of the project is to develop new numerical algorithms for tensor decompositions developing connections with approximate invariant subspaces. These are tailored to applications in signal processing, such as blind source separation and latent variable analysis.
Date:24 Feb 2023 → Today
Keywords:Data mining, Systems theory, modelling and identification, Signal processing
Disciplines:Signal processing, Systems theory, modelling and identification, Data mining
Project type:PhD project