Kristina Naskovska

Using tensor contractions to derive the structure of slice-wise multiplications of tensors with applications to space–time Khatri–Rao coding for MIMO-OFDM systems

A. D. de Almeida, M. Haardt, Bruno Sokal, 2022, EURASIP Journal on Advances in Signal Processing.

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

Martin Haardt, Kristina Naskovska, Ahmad Nimr, 2015, LVA/ICA.

Performance Comparison of Space Time Block Codes for Different 5G Air Interface Proposals

Martin Haardt, Kristina Naskovska, Bilal Zafar, 2016, WSA.

Advanced tensor based signal processing techniques for wireless communication systems and biomedical signal processing

Kristina Naskovska, Kristina Naskovska, 2020 .

Joint MEG-EEG signal decomposition using the coupled SECSI framework: Validation on a controlled experiment

Martin Haardt, Kristina Naskovska, Stephan Lau, 2017, 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

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

Martin Haardt, Kristina Naskovska, Stephan Lau, 2020, Frontiers in Neuroscience.

Analysis of the photic driving effect via joint EEG and MEG data processing based on the coupled CP decomposition

Martin Haardt, Kristina Naskovska, Jens Haueisen, 2017, 2017 25th European Signal Processing Conference (EUSIPCO).

A new coupled PARAFAC2 decomposition for joint processing of somatosensory evoked magnetic fields and somatosensory evoked electrical potentials

Martin Haardt, Kristina Naskovska, Yao Cheng, 2018, 2018 52nd Asilomar Conference on Signals, Systems, and Computers.

Efficient Computation of the PARAFAC2 Decomposition via Generalized Tensor Contractions

Martin Haardt, Kristina Naskovska, André Lima Férrer de Almeida, 2018, 2018 52nd Asilomar Conference on Signals, Systems, and Computers.