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
Pour évaluer ou comparer la vitesse de convergence des filtres numériques adaptatifs (ADF) avec l'algorithme des moindres carrés moyens (LMS), les numéros de condition des matrices de corrélation des vecteurs d'entrée de prise sont souvent utilisés. Dans cet article, cependant, la comparaison de l’ADF pleine bande conventionnelle et de l’ADF sous-bande basée sur leurs numéros de condition s’avère invalide. Dans certains cas, l'ADF de sous-bande suréchantillonnée converge plus rapidement que l'ADF pleine bande, bien que le premier ait des numéros de condition plus grands. Pour expliquer le phénomène ci-dessus, une expression du comportement de convergence de l'ADF de sous-bande et des résultats de simulation sont fournis.
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Shuichi OHNO, "Studies on the Convergence Speed of Over-Sampled Subband Adaptive Digital Filters" in IEICE TRANSACTIONS on Fundamentals,
vol. E83-A, no. 8, pp. 1531-1538, August 2000, doi: .
Abstract: To evaluate or compare the convergence speed of adaptive digital filters (ADF) with least mean squared (LMS) algorithm, the condition numbers of correlation matrices of tap-input vectors are often used. In this paper, however, the comparison of the conventional fullband ADF and the subband ADF based on their condition numbers is shown to be invalid. In some cases, the over-sampled subband ADF converges faster than the fullband ADF, although the former has larger condition numbers. To explain the above phenomenon, an expression for the convergence behavior of the subband ADF and simulation results are provided.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e83-a_8_1531/_p
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@ARTICLE{e83-a_8_1531,
author={Shuichi OHNO, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Studies on the Convergence Speed of Over-Sampled Subband Adaptive Digital Filters},
year={2000},
volume={E83-A},
number={8},
pages={1531-1538},
abstract={To evaluate or compare the convergence speed of adaptive digital filters (ADF) with least mean squared (LMS) algorithm, the condition numbers of correlation matrices of tap-input vectors are often used. In this paper, however, the comparison of the conventional fullband ADF and the subband ADF based on their condition numbers is shown to be invalid. In some cases, the over-sampled subband ADF converges faster than the fullband ADF, although the former has larger condition numbers. To explain the above phenomenon, an expression for the convergence behavior of the subband ADF and simulation results are provided.},
keywords={},
doi={},
ISSN={},
month={August},}
Copier
TY - JOUR
TI - Studies on the Convergence Speed of Over-Sampled Subband Adaptive Digital Filters
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1531
EP - 1538
AU - Shuichi OHNO
PY - 2000
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E83-A
IS - 8
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - August 2000
AB - To evaluate or compare the convergence speed of adaptive digital filters (ADF) with least mean squared (LMS) algorithm, the condition numbers of correlation matrices of tap-input vectors are often used. In this paper, however, the comparison of the conventional fullband ADF and the subband ADF based on their condition numbers is shown to be invalid. In some cases, the over-sampled subband ADF converges faster than the fullband ADF, although the former has larger condition numbers. To explain the above phenomenon, an expression for the convergence behavior of the subband ADF and simulation results are provided.
ER -