Explanipedia

Constrained Cramér-Rao Bound for Higher-Order Singular Value Decomposition Open

Metin Calis, Massimo Mischi, A. van Veen, Raj Thilak Rajan, Borbála Hunyadi · 2025

Tensor decomposition methods for signal processing applications are an active area of research. Real data are often low-rank, noisy, and come in a higher-order format. As such, low-rank tensor approximation methods that account for the hig…

Masthead Open

Christian Jutten, Athina P. Petropulu, Min Wu-President-Elect, Ana Pérez-Neira-Vice, Roxana Saint , et al. · 2023

A Singular-value-based Marker for the Detection of Atrial Fibrillation Using High-resolution Electrograms and Multi-lead ECG Open

Hanie Moghaddasi, Richard C. Hendriks, Borbála Hunyadi, Paul Knops, Mathijs S. van Schie , et al. · 2023

The severity of atrial fibrillation (AF) can be assessed from intra-operative epicardial measurements (high-resolution electrograms), using metrics such as conduction block (CB) and continuous conduction delay and block (cCDCB). These feat…

IEEE Signal Processing Society: Celebrating 75 Years of Remarkable Achievements (Part 2) [From the Guest Editors] Open

Rodrigo Capobianco Guido, Tülay Adalı, Emil Björnson, Laure Blanc-Féraud, Ulisses Braga-Neto , et al. · 2023

It is our great pleasure to introduce the second part of this special issue to you! The IEEE Signal Processing Society (SPS) has completed 75 years of remarkable service to the signal processing community. The eight selected articles inclu…

IEEE Signal Processing Society: Celebrating 75 Years of Remarkable Achievements [From the Guest Editors] Open

Rodrigo Capobianco Guido, Tülay Adalı, Emil Björnson, Laure Blanc-Féraud, Ulisses Braga-Neto , et al. · 2023

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright h…

Novel Rank-based Features of Atrial Potentials for the Classification Between Paroxysmal and Persistent Atrial Fibrillation Open

Hanie Moghaddasi, Richard C. Hendriks, A. van Veen, Natasja M.S. de Groot, Borbála Hunyadi · 2022

Atrial fibrillation (AF) is the most common arrhythmia.Although the exact cause is unclear, electropathology of atrial tissue is one contributing factor.Electropathological characteristics derived from intra-operative epicardial measuremen…

Classification of De novo post-operative and persistent atrial fibrillation using multi-channel ECG recordings Open

Hanie Moghaddasi, Richard C. Hendriks, A. van Veen, Natasja M.S. de Groot, Borbála Hunyadi · 2022

Delay Estimation for Ranging and Localization Using Multiband Channel State Information Open

Tarik Kazaz, Gerard J. M. Janssen, Jac Romme, A. van Veen · 2021

In wireless networks, an essential step for precise range-based localization is the high-resolution estimation of multipath channel delays. The resolution of traditional delay estimation algorithms is inversely proportional to the bandwidt…

Critical appraisal of technologies to assess electrical activity during atrial fibrillation: a position paper from the European Heart Rhythm Association and European Society of Cardiology Working Group on eCardiology in collaboration with the Heart Rhythm Society, Asia Pacific Heart Rhythm Society, Latin American Heart Rhythm Society and Computing in Cardiology Open

Natasja M.S. de Groot, Dipen Shah, Patrick M. Boyle, Elad Anter, Gari D. Clifford , et al. · 2021

We aim to provide a critical appraisal of basic concepts underlying signal recording and processing technologies applied for (i) atrial fibrillation (AF) mapping to unravel AF mechanisms and/or identifying target sites for AF therapy and (…

Tensor-based Detection of Paroxysmal and Persistent Atrial Fibrillation from Multi-channel ECG Open

Hanie Moghaddasi, A. van Veen, Natasja M.S. de Groot, Borbála Hunyadi · 2020

Atrial fibrillation (AF) is the most common arrhythmia in the heart. Two main types of AF are defined as paroxysmal and persistent. In this paper, we present a method to discriminate between the characteristics of paroxysmal and persistent…

Analysis of Multipath Channel Delay Estimation Using Subspace Fitting Open

Tarik Kazaz, Jac Romme, Gerard J. M. Janssen, A. van Veen · 2020

The presence of rich scattering in indoor and urban radio propagation scenarios may cause a high arrival density of multipath components (MPCs). Often the MPCs arrive in clusters at the receiver, where MPCs within one cluster have similar …

Joint Blind Calibration and Time-Delay Estimation for Multiband Ranging Open

Tarik Kazaz, Mario Coutiño, Gerard J. M. Janssen, A. van Veen · 2020

In this paper, we focus on the problem of blind joint calibration of multiband transceivers and time-delay (TD) estimation of multipath channels. We show that this problem can be formulated as a particular case of covariance matching. Alth…

Highlights From the Signal Processing Theory and Methods Technical Committee [In the Spotlight] Open

J.C.M. Bermudez, Mónica F. Bugallo, A. van Veen · 2020

Reports on new SPS society officers and committees.

Local Activation Time Annotation in Atrial Electrogram Arrays Using Deconvolution Open

Bahareh Abdi, Richard C. Hendriks, A. van Veen, Natasja M.S. de Groot · 2019

An electrogram array can be modeled as a spatial convolution of transmembrane currents generated by each activated atrial cell, with an appropriate measurementfunction that depends on the cells' distance to the electrodes.Compared to elect…

Improved local activation time annotation of fractionated atrial electrograms for atrial mapping Open

Bahareh Abdi, Richard C. Hendriks, A. van Veen, Natasja M.S. de Groot · 2019

Time Delay Estimation from Multiband Radio Channel Samples in Nonuniform\n Noise Open

Tarik Kazaz, Gerard J. M. Janssen, A. van Veen · 2019

The multipath radio channel is considered to have a non-bandlimited channel\nimpulse response. Therefore, it is challenging to achieve high resolution\ntime-delay (TD) estimation of multipath components (MPCs) from bandlimited\nobservation…

Time Delay Estimation from Multiband Radio Channel Samples in Nonuniform Noise Open

Tarik Kazaz, Gerard J. M. Janssen, A. van Veen · 2019

The multipath radio channel is considered to have a non-bandlimited channel impulse response. Therefore, it is challenging to achieve high resolution time-delay (TD) estimation of multipath components (MPCs) from bandlimited observations o…

A roadmap towards a space-based radio telescope for ultra-low frequency radio astronomy Open

Mark Bentum, Maneesh Verma, Raj Thilak Rajan, Albert‐Jan Boonstra, C.J.M. Verhoeven , et al. · 2019

Multiresolution Time-of-arrival Estimation from Multiband Radio Channel Measurements Open

Tarik Kazaz, Raj Thilak Rajan, Gerard J. M. Janssen, A. van Veen · 2019

Achieving high resolution time-of-arrival (TOA) estimation in multipath\npropagation scenarios from bandlimited observations of communication signals is\nchallenging because the multipath channel impulse response (CIR) is not\nbandlimited.…

A compact matrix model for atrial electrograms for tissue conductivity estimation Open

Bahareh Abdi, Richard C. Hendriks, A. van Veen, Natasja M.S. de Groot · 2019

Joint Ranging and Clock Synchronization for Dense Heterogeneous IoT\n Networks Open

Tarik Kazaz, Mario Coutiño, Gerard J. M. Janssen, Geert Leus, A. van Veen · 2018

Synchronization and ranging in internet of things (IoT) networks are\nchallenging due to the narrowband nature of signals used for communication\nbetween IoT nodes. Recently, several estimators for range estimation using\nphase difference …

Joint Ranging and Clock Synchronization for Dense Heterogeneous IoT Networks Open

Tarik Kazaz, Mario Coutiño, Gerard J. M. Janssen, Geert Leus, A. van Veen · 2018

Synchronization and ranging in internet of things (IoT) networks are challenging due to the narrowband nature of signals used for communication between IoT nodes. Recently, several estimators for range estimation using phase difference of …

Relative kinematics of an anchorless network Open

Raj Thilak Rajan, Geert Leus, A. van Veen · 2018

Efficient Calibration of Radio Interferometers Using Block LDU Decomposition Open

Ahmad Mouri Sardarabadi, A. van Veen, L. V. E. Koopmans · 2018

Having an accurate calibration method is crucial for any scientific research done by a radio telescope. The next generation radio telescopes such as the Square Kilometre Array (SKA) will have a large number of receivers which will produce …

Efficient Calibration of Radio Interferometers Using Block LDU Decomposition Open

Ahmad Mouri Sardarabadi, A. van Veen, L. V. E. Koopmans · 2018

Having an accurate calibration method is crucial for any scientific research done by a radio telescope. The next generation radio telescopes such as the Square Kilometre Array (SKA) will have a large number of receivers which will produce …

Constrained Least Squares for Extended Complex Factor Analysis Open

Ahmad Mouri Sardarabadi, A. van Veen, L. V. E. Koopmans · 2018

For subspace estimation with an unknown colored noise, Factor Analysis (FA) is a good candidate for replacing the popular eigenvalue decomposition (EVD). Finding the unknowns in factor analysis can be done by solving a non-linear least squ…

PRIFIRA: General regularization using prior-conditioning for fast radio interferometric imaging★ Open

Shahrzad Naghibzadeh, A. van Veen · 2018

Image formation in radio astronomy is a large-scale inverse problem that is inherently illposed. We present a general algorithmic framework based on a Bayesian-inspired regularized maximum likelihood formulation of the radio astronomical i…

Efficient Calibration of Radio Interferometers Using Block LDU\n Decomposition Open

Ahmad Mouri Sardarabadi, A. van Veen, L. V. E. Koopmans · 2018

Having an accurate calibration method is crucial for any scientific research\ndone by a radio telescope. The next generation radio telescopes such as the\nSquare Kilometre Array (SKA) will have a large number of receivers which will\nprodu…

Complex Factor Analysis and Extensions Open

Ahmad Mouri Sardarabadi, A. van Veen · 2017

Many subspace-based array signal processing algorithms assume that the noise is spatially white. In this case, the noise covariance matrix is a multiple of the identity and the eigenvectors of the data covariance matrix are not affected by…

Fast and accurate radio interferometric imaging using krylov subspaces Open

Shahrzad Naghibzadeh, A. van Veen · 2017

We propose a fast iterative method for image formation in Radio Astronomy (RA). We formulate the image formation problem as a maximum likelihood estimation problem to estimate the image pixel powers via array covariance measurements. We us…

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