The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Dans cette lettre nous proposons un filtre permettant d'extraire un signal quasi-périodique d'une observation bruitée à l'aide d'ondelettes. On suppose que la fréquence instantanée du signal est connue. Une tâche particulièrement difficile est présentée lorsque la fréquence et l'amplitude du signal souhaité varient avec le temps. L'algorithme proposé est comparé à trois autres méthodes.
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Allan Kardec BARROS, Noboru OHNISHI, "Amplitude Estimation of Quasi-Periodic Physiological Signals by Wavelets" in IEICE TRANSACTIONS on Information,
vol. E83-D, no. 12, pp. 2193-2195, December 2000, doi: .
Abstract: In this letter we propose a filter for extracting a quasi-periodic signal from a noisy observation using wavelets. It is assumed that the instantaneous frequency of the signal is known. A particularly difficult task when the frequency and amplitude of the desired signal are varying with time is shown. The proposed algorithm is compared with three other methods.
URL: https://global.ieice.org/en_transactions/information/10.1587/e83-d_12_2193/_p
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@ARTICLE{e83-d_12_2193,
author={Allan Kardec BARROS, Noboru OHNISHI, },
journal={IEICE TRANSACTIONS on Information},
title={Amplitude Estimation of Quasi-Periodic Physiological Signals by Wavelets},
year={2000},
volume={E83-D},
number={12},
pages={2193-2195},
abstract={In this letter we propose a filter for extracting a quasi-periodic signal from a noisy observation using wavelets. It is assumed that the instantaneous frequency of the signal is known. A particularly difficult task when the frequency and amplitude of the desired signal are varying with time is shown. The proposed algorithm is compared with three other methods.},
keywords={},
doi={},
ISSN={},
month={December},}
Copier
TY - JOUR
TI - Amplitude Estimation of Quasi-Periodic Physiological Signals by Wavelets
T2 - IEICE TRANSACTIONS on Information
SP - 2193
EP - 2195
AU - Allan Kardec BARROS
AU - Noboru OHNISHI
PY - 2000
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E83-D
IS - 12
JA - IEICE TRANSACTIONS on Information
Y1 - December 2000
AB - In this letter we propose a filter for extracting a quasi-periodic signal from a noisy observation using wavelets. It is assumed that the instantaneous frequency of the signal is known. A particularly difficult task when the frequency and amplitude of the desired signal are varying with time is shown. The proposed algorithm is compared with three other methods.
ER -