Kristina Naskovska

According to our database, Kristina Naskovska authored at least 14 papers between 2014 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2022

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.

Kristina Naskovska, Bruno Sokal, André L. F. de Almeida, Martin Haardt

EURASIP J. Adv. Signal Process., 2022

2020

Iterative Tensor Receiver for MIMO-GFDM systems.

Damir Rakhimov, Sai Pavan Deram, Bruno Sokal, Kristina Naskovska, André Lima Férrer de Almeida, Martin Haardt

Proceedings of the 11th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2020

2018

Generalized Tensor Contractions for an Improved Receiver Design in MIMO-OFDM Systems.

Kristina Naskovska, Martin Haardt, André Lima Férrer de Almeida

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Efficient Computation of the PARAFAC2 Decomposition via Generalized Tensor Contractions.

Kristina Naskovska, Yao Cheng, André L. F. de Almeida, Martin Haardt

Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

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

Yao Cheng, Kristina Naskovska, Martin Haardt, Theresa Götz, Jens Haueisen

Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017

Iterative GFDM Receiver based on the PARATUCK2 Tensor Decomposition.

Kristina Naskovska, Sher Ali Cheema, Martin Haardt, Bulat Valeev, Yury Evdokimov

Proceedings of the WSA 2017, 2017

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

Kristina Naskovska, Alexey Alexandrovich Korobkov, Martin Haardt, Jens Haueisen

Proceedings of the 25th European Signal Processing Conference, 2017

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

Kristina Naskovska, Stephan Lau, Amr Aboughazala, Martin Haardt, Jens Haueisen

Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

Generalized tensor contraction with application to khatri-rao coded MIMO OFDM systems.

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

Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

2016

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

Sher Ali Cheema, Kristina Naskovska, Mohammadhossein Attar, Bilal Zafar, Martin Haardt

Proceedings of the WSA 2016, 2016

Extension of the semi-algebraic framework for approximate CP decompositions via non-symmetric simultaneous matrix diagonalization.

Kristina Naskovska, Martin Haardt, Petr Tichavský, Gilles Chabriel, Jean Barrère

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Extension of the semi-algebraic framework for approximate CP decompositions via simultaneous matrix diagonalization to the efficient calculation of coupled CP decompositions.

Kristina Naskovska, Martin Haardt

Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015

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

Jianshu Zhang, Ahmad Nimr, Kristina Naskovska, Martin Haardt

Proceedings of the Latent Variable Analysis and Signal Separation, 2015

2014

Tensor-based channel estimation for non-regenerative two-way relaying networks with multiple relays.

Jianshu Zhang, Kristina Naskovska, Martin Haardt

Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014