Using Double Contractions to Derive the Structure of Slice-Wise Multiplications of Tensors with Applications to Semi-Blind MIMO OFDM

Autor: Naskovska, Kristina, de Almeida, André L. F., Haardt, Martin

The slice-wise multiplication of two tensors is required in a variety of tensor decompositions (including PARAFAC2 and PARATUCK2) and is encountered in many applications, including the analysis of multidimensional biomedical data (EEG, MEG, etc.) or

Externí odkaz: http://arxiv.org/abs/2001.06556

Coupled CP Decomposition of Simultaneous MEG-EEG Signals for Differentiating Oscillators During Photic Driving

Autor: Naskovska, Kristina, Lau, Stephan, Korobkov, Alexey A., Haueisen, Jens, Haardt, Martin

Publikováno v: Frontiers in Neuroscience

Magnetoencephalography (MEG) and electroencephalography (EEG) are contemporary methods to investigate the function and organization of the brain. Simultaneously acquired MEG-EEG data are inherently multi-dimensional and exhibit coupling. This study u

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::b9d0da1033b1ded4f73a95ffa962fe1c
http://europepmc.org/articles/PMC7161426

Enhanced Tensor Based Semi-blind Estimation Algorithm for Relay-Assisted MIMO Systems.

Autor: Zhang, Jianshu, Nimr, Ahmad, Naskovska, Kristina, Haardt, Martin

Publikováno v: Latent Variable Analysis & Signal Separation: 12th International Conference, LVA/ICA 2015, Liberec, Czech Republic, August 25-28, 2015, Proceedings; 2015, p64-72, 9p