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Researcher
Frederik Van Eeghem
- Disciplines:Modelling, Scientific computing, Signal processing
Affiliations
- Electrical Engineering (ESAT), Kulak Kortrijk Campus (Department)
Member
From1 Oct 2014 → 24 Mar 2021
Projects
1 - 1 of 1
- Tensor-based independent component analysis: from instantantaneous to convolutive mixturesFrom2 Sep 2014 → 4 Jan 2021Funding: FWO fellowships
Publications
1 - 8 of 8
- Coupled and Incomplete Tensors in Blind System Identification(2018)
Authors: Frederik Van Eeghem, Nico Vervliet, Lieven De Lathauwer
Pages: 6137 - 6147 - Tensor similarity in two modes(2018)
Authors: Frederik Van Eeghem, Otto Debals, Lieven De Lathauwer
Pages: 1273 - 1285 - Algorithms for canonical polyadic decompositions with block-circulant factors(2018)
Authors: Frederik Van Eeghem, Lieven De Lathauwer
Pages: 798 - 802 - Blind multichannel deconvolution and convolutive extensions of canonical polyadic and block term decompositions(2017)
Authors: Mikael Sorensen, Frederik Van Eeghem, Lieven De Lathauwer
Pages: 4132 - 4145 - Tensor decompositions with several block-Hankel factors and application in blind system identification(2017)
Authors: Frederik Van Eeghem, Mikael Sorensen, Lieven De Lathauwer
Pages: 4090 - 4101 - Tensor similarity in chemometrics
Authors: Frederik Van Eeghem, Lieven De Lathauwer
Pages: 337 - 354 - Second-order tensor-based convolutive ICA : deconvolution versus tensorization
Authors: Frederik Van Eeghem, Lieven De Lathauwer
Pages: 2252 - 2256 - Tensor-Based Independent Component Analysis: from Instantaneous to Convolutive Mixtures
Authors: Frederik Van Eeghem, Lieven De Lathauwer