Search Results - "Kopsinis, Yannis"

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  1. 1

    Deep Learning-Based Indoor Localization Using Multi-View BLE Signal by Koutris, Aristotelis, Siozos, Theodoros, Kopsinis, Yannis, Pikrakis, Aggelos, Merk, Timon, Mahlig, Matthias, Papaharalabos, Stylianos, Karlsson, Peter

    Published in Sensors (Basel, Switzerland) (02-04-2022)
    “…In this paper, we present a novel Deep Neural Network-based indoor localization method that estimates the position of a Bluetooth Low Energy (BLE) transmitter…”
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    Journal Article
  2. 2

    Enhanced design matrix for task-related fMRI data analysis by Morante, Manuel, Kopsinis, Yannis, Chatzichristos, Christos, Protopapas, Athanassios, Theodoridis, Sergios

    Published in NeuroImage (Orlando, Fla.) (15-12-2021)
    “…•A novel methodology to enhance the standard design matrix is proposed within the GLM framework for task-related fMRI data analysis.•The proposed methodology…”
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    Journal Article
  3. 3

    Information Assisted Dictionary Learning for fMRI Data Analysis by Morante, Manuel, Kopsinis, Yannis, Theodoridis, Sergios, Protopapas, Athanassios

    Published in IEEE access (2020)
    “…In this paper, the task-related fMRI problem is treated in its matrix factorization form, focusing on the Dictionary Learning (DL) approach. The proposed…”
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    Journal Article
  4. 4

    Improved EMD Using Doubly-Iterative Sifting and High Order Spline Interpolation by Kopsinis, Yannis, McLaughlin, Steve

    “…Empirical mode decomposition (EMD) is a signal analysis method which has received much attention lately due to its application in a number of fields. The main…”
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    Journal Article
  5. 5

    Compensation of Fiber Nonlinearities in Digital Coherent Systems Leveraging Long Short-Term Memory Neural Networks by Deligiannidis, Stavros, Bogris, Adonis, Mesaritakis, Charis, Kopsinis, Yannis

    Published in Journal of lightwave technology (01-11-2020)
    “…We introduce for the first time the utilization of Long short-term memory (LSTM) neural network architectures for the compensation of fiber nonlinearities in…”
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    Journal Article
  6. 6
  7. 7

    Robust Subspace Tracking With Missing Entries: The Set-Theoretic Approach by Chouvardas, Symeon, Kopsinis, Yannis, Theodoridis, Sergios

    Published in IEEE transactions on signal processing (01-10-2015)
    “…In this paper, an Adaptive Projected Subgradient Method (APSM) based algorithm for robust subspace tracking is introduced. A properly chosen cost function is…”
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    Journal Article
  8. 8

    An Anisotropic Sparse Adaptive Polynomial Chaos Method for the Uncertainty Quantification of Resonant Gratings-Performance by Papadopoulos, Aristeides D., Zygiridis, Theodoros, Kopsinis, Yannis, Glytsis, Elias N.

    Published in Journal of lightwave technology (15-06-2022)
    “…The stochastic response of resonant grating structures is studied, for a considerably large number of geometric random design variables. Computationally…”
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    Journal Article
  9. 9

    A Sparsity Promoting Adaptive Algorithm for Distributed Learning by Chouvardas, S., Slavakis, K., Kopsinis, Y., Theodoridis, S.

    Published in IEEE transactions on signal processing (01-10-2012)
    “…In this paper, a sparsity promoting adaptive algorithm for distributed learning in diffusion networks is developed. The algorithm follows the set-theoretic…”
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    Journal Article
  10. 10

    Development of EMD-Based Denoising Methods Inspired by Wavelet Thresholding by Kopsinis, Y., McLaughlin, S.

    Published in IEEE transactions on signal processing (01-04-2009)
    “…One of the tasks for which empirical mode decomposition (EMD) is potentially useful is nonparametric signal denoising, an area for which wavelet thresholding…”
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    Journal Article
  11. 11

    Investigation and Performance Enhancement of the Empirical Mode Decomposition Method Based on a Heuristic Search Optimization Approach by Kopsinis, Y., McLaughlin, S.

    Published in IEEE transactions on signal processing (01-01-2008)
    “…Empirical mode decomposition (EMD) is a relatively new, data-driven adaptive technique for analyzing multicomponent signals. Although it has many interesting…”
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    Journal Article
  12. 12

    Generalized Thresholding and Online Sparsity-Aware Learning in a Union of Subspaces by Slavakis, Konstantinos, Kopsinis, Yannis, Theodoridis, Sergios, McLaughlin, Stephen

    Published in IEEE transactions on signal processing (01-08-2013)
    “…This paper considers a sparse signal recovery task in time-varying (time-adaptive) environments. The contribution of the paper to sparsity-aware online…”
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    Journal Article
  13. 13

    A Sub-Sampling Approach for Data Acquisition in Gamma Ray Emission Tomography by Fysikopoulos, Eleftherios, Kopsinis, Yannis, Georgiou, Maria, Loudos, George

    Published in IEEE transactions on nuclear science (01-06-2016)
    “…State of the art data acquisition systems for small animal imaging gamma ray detectors often rely on free running Analog to Digital Converters (ADCs) and high…”
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    Journal Article
  14. 14

    Online Sparse System Identification and Signal Reconstruction Using Projections Onto Weighted [ell] 1 Balls by Kopsinis, Yannis, Slavakis, Konstantinos, Theodoridis, Sergios

    Published in IEEE transactions on signal processing (01-03-2011)
    “…This paper presents a novel projection-based adaptive algorithm for sparse signal and system identification. The sequentially observed data are used to…”
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    Journal Article
  15. 15

    Online Sparse System Identification and Signal Reconstruction Using Projections Onto Weighted [Formula Omitted] Balls by Kopsinis, Yannis, Slavakis, Konstantinos, Theodoridis, Sergios

    Published in IEEE transactions on signal processing (01-03-2011)
    “…This paper presents a novel projection-based adaptive algorithm for sparse signal and system identification. The sequentially observed data are used to…”
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    Journal Article
  16. 16

    Online Sparse System Identification and Signal Reconstruction Using Projections Onto Weighted \ell Balls by Kopsinis, Yannis, Slavakis, Konstantinos, Theodoridis, Sergios

    Published in IEEE transactions on signal processing (01-03-2011)
    “…This paper presents a novel projection-based adaptive algorithm for sparse signal and system identification. The sequentially observed data are used to…”
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    Journal Article
  17. 17

    An online algorithm for distributed dictionary learning by Chouvardas, Symeon, Kopsinis, Yannis, Theodoridis, Sergios

    “…This paper proposes a novel algorithm for online distributed dictionary learning, where a set of nodes is requested to collectively estimate a common…”
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    Conference Proceeding
  18. 18

    Instantaneous frequency based spectral analysis of nuclear magnetic resonance spectroscopy data by Aboutanios, Elias, Kopsinis, Yannis, Rubtsov, Denis

    Published in Computers & electrical engineering (01-01-2012)
    “…Nuclear magnetic resonance spectroscopy signals are modelled as a sum of decaying complex exponentials in noise. The spectral analysis of these signals…”
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    Journal Article
  19. 19

    Iterative randomized robust linear regression by Kopsinis, Yannis, Chouvardas, Symeon, Theodoridis, Sergios

    “…A promising approach when dealing with massive data sets is to apply randomized dimensionality reduction and then operate in lower dimensions. This paper deals…”
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    Conference Proceeding
  20. 20

    Assisted dictionary learning for FMRI data analysis by Moreno, Manuel Morante, Kopsinis, Yannis, Kofidis, Eleftherios, Chatzichristos, Christos, Theodoridis, Sergios

    “…Extracting information from functional magnetic resonance images (fMRI) has been a major area of research for more than two decades. The goal of this work is…”
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    Conference Proceeding