activity
20092026
most citedPreamble-Based Channel Estimation for CP-OFDM and OFDM/OQAM Systems: A Comparative Study

83 citations · 210 across the 18 of their papers we have counts for

collaborators

19 papers

stat.ML2026

Kernel Regression with Tensor Trains and Hadamard Overparameterization

Duc Thien Nguyen, Konstantinos Slavakis, Eleftherios Kofidis +1

Kernel regression with tensor trains and Hadamard overparameterization (KReTTaH) is introduced as a training-data-free, interpretable, and nonparametric framework for multi-way dat…

stat.ME2026

Beyond Tensor Probabilistic Independent Component Analysis -- Putting Block-Term Decomposition and Independent Vector Analysis Together

Eleftherios Kofidis

Tensor probabilistic independent component analysis (TPICA) is a popular approach to analyzing functional magnetic resonance imaging (fMRI) data, which draws its popularity from it…

eess.SP2026

Block-Term Decomposition Approach to Blind Multi-trial Functional Ultrasound Unmixing

Sofia-Eirini Kotti, Eleftherios Kofidis, Borbála Hunyadi

Functional ultrasound (fUS) has emerged as a powerful neuroimaging modality due to its high resolution in both space and time, low cost and potential portability. Nevertheless, fUS…

cs.LG2025

Kernel Regression of Multi-Way Data via Tensor Trains with Hadamard Overparametrization: The Dynamic Graph Flow Case

Duc Thien Nguyen, Konstantinos Slavakis, Eleftherios Kofidis +1

A regression-based framework for interpretable multi-way data imputation, termed Kernel Regression via Tensor Trains with Hadamard overparametrization (KReTTaH), is introduced. KRe…

cs.DC2024★ 2 cited

Federated Learning Using Coupled Tensor Train Decomposition

Xiangtao Zhang, Eleftherios Kofidis, Ce Zhu +2

Coupled tensor decomposition (CTD) can extract joint features from multimodal data in various applications. It can be employed for federated learning networks with data confidentia…

cs.IT2022★ 3 cited

Tensor-based Channel Tracking for RIS-Empowered Multi-User MIMO Wireless Systems

Jide Yuan, George C. Alexandropoulos, Eleftherios Kofidis +2

The accurate estimation of Channel State Information (CSI) is of crucial importance for the successful operation of Multiple-Input Multiple-Output (MIMO) communication systems, esp…

math.NA2021

Online Rank-Revealing Block-Term Tensor Decomposition

Athanasios A. Rontogiannis, Eleftherios Kofidis, Paris V. Giampouras

The so-called block-term decomposition (BTD) tensor model, especially in its rank- version, has been recently receiving increasing attention due to its enhanced abilit…

stat.ME2021★ 36 cited

Block-Term Tensor Decomposition Model Selection and Computation: The Bayesian Way

Paris V. Giampouras, Athanasios A. Rontogiannis, Eleftherios Kofidis

The so-called block-term decomposition (BTD) tensor model, especially in its rank- version, has been recently receiving increasing attention due to its enhanced abilit…

eess.SP2020★ 6 cited

Early soft and flexible fusion of EEG and fMRI via tensor decompositions

Christos Chatzichristos, Eleftherios Kofidis, Lieven De Lathauwer +2

Data fusion refers to the joint analysis of multiple datasets which provide complementary views of the same task. In this preprint, the problem of jointly analyzing electroencephal…

math.NA2020★ 42 cited

Block-Term Tensor Decomposition: Model Selection and Computation

Athanasios A. Rontogiannis, Eleftherios Kofidis, Paris V. Giampouras

The so-called block-term decomposition (BTD) tensor model has been recently receiving increasing attention due to its enhanced ability of representing systems and signals that are…

eess.SP2019★ 20 cited

A Tensor-based Approach to Joint Channel Estimation / Data Detection in Flexible Multicarrier MIMO Systems

Eleftherios Kofidis

Filter bank-based multicarrier (FBMC) systems have attracted increasing attention recently in view of their many advantages over the classical cyclic prefix (CP)-based orthogonal f…

stat.ML2016

Assisted Dictionary Learning for fMRI Data Analysis

Manuel Morante Moreno, Yannis Kopsinis, Eleftherios Kofidis +2

Extracting information from functional magnetic resonance (fMRI) images has been a major area of research for more than two decades. The goal of this work is to present a new metho…

cs.IT2016

Joint Channel Estimation / Data Detection in MIMO-FBMC/OQAM Systems - A Tensor-Based Approach

Eleftherios Kofidis, Christos Chatzichristos, Andre L. F. de Almeida

Filter bank-based multicarrier (FBMC) systems are currently being considered as a prevalent candidate for replacing the long established cyclic prefix (CP)-based orthogonal frequen…

math.NA2016

Higher-Order Block Term Decomposition for Spatially Folded fMRI Data

Christos Chatzichristos, Eleftherios Kofidis, Giannis Kopsinis +1

The growing use of neuroimaging technologies generates a massive amount of biomedical data that exhibit high dimensionality. Tensor-based analysis of brain imaging data has been pr…

cs.IT2016★ 2 cited

A Unified Multicarrier Modulation Framework

Konstantinos Maliatsos, Eleftherios Kofidis, Athanasios Kanatas

Orthogonal frequency division multiplexing (OFDM) has been recently recognized as inadequate to meet the increased requirements of the next generation of communication systems. A n…

stat.ML2016★ 5 cited

Blind Source Separation: Fundamentals and Recent Advances (A Tutorial Overview Presented at SBrT-2001)

Eleftherios Kofidis

Blind source separation (BSS), i.e., the decoupling of unknown signals that have been mixed in an unknown way, has been a topic of great interest in the signal processing community…

cs.IT2013★ 2 cited

Preamble-based Channel Estimation in FBMC/OQAM Systems: A Time-Domain Approach

Eleftherios Kofidis

Filter bank-based multicarrier (FBMC) systems based on offset QAM (FBMC/OQAM) have recently attracted increased interest in several applications due to their enhanced flexibility,…

cs.IT2013★ 9 cited

Preamble-based Channel Estimation in OFDM/OQAM Systems: A Review

E. Kofidis, D. Katselis, A. Rontogiannis +1

Filter bank-based multicarrier communications (FBMC) have recently attracted increased interest in both wired (e.g., xDSL, PLC) and wireless (e.g., cognitive radio) applications, d…

cs.IT2009★ 83 cited

Preamble-Based Channel Estimation for CP-OFDM and OFDM/OQAM Systems: A Comparative Study

Dimitris Katselis, Eleftherios Kofidis, Athanasios Rontogiannis +1

In this paper, preamble-based least squares (LS) channel estimation in OFDM systems of the QAM and offset QAM (OQAM) types is considered, in both the frequency and the time domains…