Search Results - "Kopsinis, Yannis"
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Deep Learning-Based Indoor Localization Using Multi-View BLE Signal
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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Enhanced design matrix for task-related fMRI data analysis
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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3
Information Assisted Dictionary Learning for fMRI Data Analysis
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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Improved EMD Using Doubly-Iterative Sifting and High Order Spline Interpolation
Published in EURASIP journal on advances in signal processing (01-01-2008)“…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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Compensation of Fiber Nonlinearities in Digital Coherent Systems Leveraging Long Short-Term Memory Neural Networks
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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Online Sparse System Identification and Signal Reconstruction Using Projections Onto Weighted ℓ1 Balls
Published in IEEE transactions on signal processing (01-03-2011)Get full text
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Robust Subspace Tracking With Missing Entries: The Set-Theoretic Approach
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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An Anisotropic Sparse Adaptive Polynomial Chaos Method for the Uncertainty Quantification of Resonant Gratings-Performance
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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A Sparsity Promoting Adaptive Algorithm for Distributed Learning
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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10
Development of EMD-Based Denoising Methods Inspired by Wavelet Thresholding
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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Investigation and Performance Enhancement of the Empirical Mode Decomposition Method Based on a Heuristic Search Optimization Approach
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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Generalized Thresholding and Online Sparsity-Aware Learning in a Union of Subspaces
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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13
A Sub-Sampling Approach for Data Acquisition in Gamma Ray Emission Tomography
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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14
Online Sparse System Identification and Signal Reconstruction Using Projections Onto Weighted [ell] 1 Balls
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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15
Online Sparse System Identification and Signal Reconstruction Using Projections Onto Weighted [Formula Omitted] Balls
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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16
Online Sparse System Identification and Signal Reconstruction Using Projections Onto Weighted \ell Balls
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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17
An online algorithm for distributed dictionary learning
Published in 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (01-04-2015)“…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 -
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Instantaneous frequency based spectral analysis of nuclear magnetic resonance spectroscopy data
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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Iterative randomized robust linear regression
Published in 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (01-04-2015)“…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 -
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Assisted dictionary learning for FMRI data analysis
Published in 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (01-03-2017)“…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