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
Dans cette lettre, l'adaptation de la bande passante d'un amplificateur multiligne adaptatif IIR est explorée. En plus du problème de l'annulation du biais de la structure principale, différents aspects du filtre proposé, tels que la bande passante équivalente au bruit et la bande passante optimale, sont pris en compte et comparés à la bande passante demi-puissance de l'amplificateur multiligne adaptatif. Puisque la fréquence centrale des multiples sinusoïdes du signal d'entrée est estimée sans biais, en supposant que la fréquence centrale du signal entrant est adaptée avec précision, la surface d'erreur de l'algorithme est calculée analytiquement en fonction de la bande passante du filtre. Des simulations informatiques sont utilisées pour comparer les bandes passantes optimales et adaptées.
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Mohammad GHAVAMI, Ryuji KOHNO, "Study of the Bandwidth Adjustment of an Unbiased Adaptive IIR Multiline Enhancer" in IEICE TRANSACTIONS on Fundamentals,
vol. E84-A, no. 4, pp. 961-965, April 2001, doi: .
Abstract: In this letter, the bandwidth adaptation of an adaptive IIR multiline enhancer is explored. In addition to the problem of bias cancellation of the main structure, different aspects of the proposed filter such as noise equivalent bandwidth and optimal bandwidth are considered and compared with the half power bandwidth of the adaptive multiline enhancer. Since the center frequency of the multiple sinusoids of the input signal is estimated with no bias, with the assumption that the center frequency of the incoming signal is accurately adapted, the error surface of the algorithm is calculated analytically as a function of the filter bandwidth. Computer simulations are used to compare optimum and adapted bandwidths.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e84-a_4_961/_p
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@ARTICLE{e84-a_4_961,
author={Mohammad GHAVAMI, Ryuji KOHNO, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Study of the Bandwidth Adjustment of an Unbiased Adaptive IIR Multiline Enhancer},
year={2001},
volume={E84-A},
number={4},
pages={961-965},
abstract={In this letter, the bandwidth adaptation of an adaptive IIR multiline enhancer is explored. In addition to the problem of bias cancellation of the main structure, different aspects of the proposed filter such as noise equivalent bandwidth and optimal bandwidth are considered and compared with the half power bandwidth of the adaptive multiline enhancer. Since the center frequency of the multiple sinusoids of the input signal is estimated with no bias, with the assumption that the center frequency of the incoming signal is accurately adapted, the error surface of the algorithm is calculated analytically as a function of the filter bandwidth. Computer simulations are used to compare optimum and adapted bandwidths.},
keywords={},
doi={},
ISSN={},
month={April},}
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TY - JOUR
TI - Study of the Bandwidth Adjustment of an Unbiased Adaptive IIR Multiline Enhancer
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 961
EP - 965
AU - Mohammad GHAVAMI
AU - Ryuji KOHNO
PY - 2001
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E84-A
IS - 4
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - April 2001
AB - In this letter, the bandwidth adaptation of an adaptive IIR multiline enhancer is explored. In addition to the problem of bias cancellation of the main structure, different aspects of the proposed filter such as noise equivalent bandwidth and optimal bandwidth are considered and compared with the half power bandwidth of the adaptive multiline enhancer. Since the center frequency of the multiple sinusoids of the input signal is estimated with no bias, with the assumption that the center frequency of the incoming signal is accurately adapted, the error surface of the algorithm is calculated analytically as a function of the filter bandwidth. Computer simulations are used to compare optimum and adapted bandwidths.
ER -