Zobrazeno 1 - 10 of 117 pro vyhledávání: '"Richard C. Hendriks"'
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Akademický článek
Low Complexity DFT-Domain Noise PSD Tracking Using High-Resolution Periodograms
Autor: Ulrik Kjems, Jesper Jensen, Richard Heusdens, Richard C. Hendriks
Publikováno v: EURASIP Journal on Advances in Signal Processing, Vol 2009 (2009)
Although most noise reduction algorithms are critically dependent on the noise power spectral density (PSD), most procedures for noise PSD estimation fail to obtain good estimates in nonstationary noise conditions. Recently, a DFT-subspace-based meth
Externí odkaz: https://doaj.org/article/6933908c401c431ba21e1cba0ab5ced5
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7
On the Integration of Acoustics and LiDAR: a Multi-Modal Approach to Acoustic Reflector Estimation
Autor: Ellen Riemens, Pablo Martinez-Nuevo, Jorge Martinez, Martin Moller, Richard C. Hendriks
Publikováno v: 2022 30th European Signal Processing Conference (EUSIPCO).
Having knowledge on the room acoustic properties, e.g., the location of acoustic reflectors, allows to better reproduce the sound field as intended. Current state-of-the-art methods for room boundary detection using microphone measurements typically
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f5188148c8e59540f0da2d47490e2b8b
https://doi.org/10.23919/eusipco55093.2022.9909918
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8
Joint cardiac tissue conductivity and activation time estimation using confirmatory factor analysis
Autor: Miao Sun, Natasja M.S. de Groot, Richard C. Hendriks
Publikováno v: Computers in Biology and Medicine, 144
Computers in Biology and Medicine, 144:105393. Elsevier Ltd.
Mathematical models of the electrophysiology of cardiac tissue play an important role when studying heart rhythm disorders like atrial fibrillation. Model parameters such as conductivity, activation time, and anisotropy ratio are useful parameters to
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::594a3942ec3fe4ab00a4b272650f3498
http://www.scopus.com/inward/record.url?scp=85126321318&partnerID=8YFLogxK
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9
Low Complex Accurate Multi-Source RTF Estimation
Autor: Changheng Li, Jorge Martinez, Richard C. Hendriks
Publikováno v: Proceedings of the ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Many multi-microphone algorithms depend on knowing the relative acoustic transfer functions (RTFs) of the individual sound sources in the acoustic scene. However, accurate joint RTF estimation for multiple sources is a challenging problem. Existing m
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::42bbdacacc107e67336c8077463312de
https://doi.org/10.1109/icassp43922.2022.9747170
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10
Classification of De novo post-operative and persistent atrial fibrillation using multi-channel ECG recordings
Autor: Hanie Moghaddasi, Richard C. Hendriks, Alle-Jan van der Veen, Natasja M.S. de Groot, Borbála Hunyadi
Publikováno v: Computers in Biology and Medicine, 143
Computers in Biology and Medicine, 143:105270. Elsevier Ltd.
Atrial fibrillation (AF) is the most sustained arrhythmia in the heart and also the most common complication developed after cardiac surgery. Due to its progressive nature, timely detection of AF is important. Currently, physicians use a surface elec
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8285b01473e739090fbbfaf7b893f122
http://resolver.tudelft.nl/uuid:d19e60a6-2d49-4661-bdb5-9911e14e9a0a
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Plný text Recenzováno Digitální knihovna AV ČR
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