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".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Les processus observés dans un environnement sonore contiennent inévitablement du bruit externe supplémentaire de répartition arbitraire. De plus, le système d’environnement sonore actuel présente différents types de caractéristiques linéaires et non linéaires et contient souvent une structure inconnue. Dans cet article, une méthode d'estimation du signal d'entrée pour un système d'environnement sonore avec une structure inconnue et un bruit additif de distribution de probabilité arbitraire est proposée en introduisant un modèle de système de type probabilité conditionnelle. L'efficacité de la méthode théorique proposée est confirmée expérimentalement en l'appliquant au problème réel de l'estimation des entrées de l'environnement sonore.
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Akira IKUTA, Osman TOKHI, Mitsuo OHTA, "A Cancellation Method of Background Noise for a Sound Environment System with Unknown Structure" in IEICE TRANSACTIONS on Fundamentals,
vol. E84-A, no. 2, pp. 457-466, February 2001, doi: .
Abstract: The processes observed in a sound environment inevitably contain additional external noise of arbitrary distribution. Furthermore, the actual sound environment system exhibits various types of linear and non-linear characteristics, and it often contains an unknown structure. In this paper, a method for estimating the input signal for a sound environment system with unknown structure and additive noise of arbitrary probability distribution is proposed by introducing a system model of the conditional probability type. The effectiveness of the proposed theoretical method is confirmed experimentally by applying it to the actual problem of input estimation of the sound environment.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e84-a_2_457/_p
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@ARTICLE{e84-a_2_457,
author={Akira IKUTA, Osman TOKHI, Mitsuo OHTA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A Cancellation Method of Background Noise for a Sound Environment System with Unknown Structure},
year={2001},
volume={E84-A},
number={2},
pages={457-466},
abstract={The processes observed in a sound environment inevitably contain additional external noise of arbitrary distribution. Furthermore, the actual sound environment system exhibits various types of linear and non-linear characteristics, and it often contains an unknown structure. In this paper, a method for estimating the input signal for a sound environment system with unknown structure and additive noise of arbitrary probability distribution is proposed by introducing a system model of the conditional probability type. The effectiveness of the proposed theoretical method is confirmed experimentally by applying it to the actual problem of input estimation of the sound environment.},
keywords={},
doi={},
ISSN={},
month={February},}
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TY - JOUR
TI - A Cancellation Method of Background Noise for a Sound Environment System with Unknown Structure
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 457
EP - 466
AU - Akira IKUTA
AU - Osman TOKHI
AU - Mitsuo OHTA
PY - 2001
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E84-A
IS - 2
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - February 2001
AB - The processes observed in a sound environment inevitably contain additional external noise of arbitrary distribution. Furthermore, the actual sound environment system exhibits various types of linear and non-linear characteristics, and it often contains an unknown structure. In this paper, a method for estimating the input signal for a sound environment system with unknown structure and additive noise of arbitrary probability distribution is proposed by introducing a system model of the conditional probability type. The effectiveness of the proposed theoretical method is confirmed experimentally by applying it to the actual problem of input estimation of the sound environment.
ER -