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
Le filtre Wiener à plusieurs étages (MWF) surpasse le filtre Wiener de rang complet dans les environnements à faible prise en charge d'échantillons. Cependant, le processus adaptatif MWF doit être arrêté à un stade optimal pour obtenir les meilleures performances. Il existe deux méthodes pour arrêter le processus adaptatif MWF. Une méthode consiste à calculer jusqu'à l'étape finale complète, et la deuxième méthode consiste à terminer à r-étape inférieure à la scène complète. La charge de calcul est plus petite dans cette dernière méthode, cependant, une dégradation des performances est provoquée par une étape de calcul supplémentaire ou soustractive. Il est donc très important pour le rcalcul en plusieurs étapes pour arrêter un processus adaptatif au stade optimal. Dans cet article, nous proposons une méthode simple basée sur un coefficient de corrélation croisée pour arrêter le processus adaptatif MWF. Étant donné que son coefficient est calculé par la récursion directe MWF, l'étape optimale est déterminée automatiquement et des calculs supplémentaires sont évités. Les performances ont été évaluées par des exemples de simulation, démontrant la supériorité de la méthode proposée.
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Junichiro SUZUKI, Yoshikazu SHOJI, Hiroyoshi YAMADA, Yoshio YAMAGUCHI, Masahiro TANABE, "A Simple Method to Stop an Adaptive Process for the Multistage Wiener Filter" in IEICE TRANSACTIONS on Communications,
vol. E91-B, no. 5, pp. 1581-1588, May 2008, doi: 10.1093/ietcom/e91-b.5.1581.
Abstract: The multistage Wiener filter (MWF) outperforms the full rank Wiener filter in low sample support environments. However, the MWF adaptive process should be stopped at an optimum stage to get the best performance. There are two methods to stop the MWF adaptive process. One method is to calculate until the final full-stage, and the second method is to terminate at r-stage less than full-stage. The computational load is smaller in the latter method, however, a performance degradation is caused by an additional or subtractive stage calculation. Therefore, it is very important for the r-stage calculation to stop an adaptive process at the optimum stage. In this paper, we propose a simple method based on a cross-correlation coefficient to stop the MWF adaptive process. Because its coefficient is calculated by the MWF forward recursion, the optimum stage is determined automatically and additional calculations are avoided. The performance was evaluated by simulation examples, demonstrating the superiority of the proposed method.
URL: https://global.ieice.org/en_transactions/communications/10.1093/ietcom/e91-b.5.1581/_p
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@ARTICLE{e91-b_5_1581,
author={Junichiro SUZUKI, Yoshikazu SHOJI, Hiroyoshi YAMADA, Yoshio YAMAGUCHI, Masahiro TANABE, },
journal={IEICE TRANSACTIONS on Communications},
title={A Simple Method to Stop an Adaptive Process for the Multistage Wiener Filter},
year={2008},
volume={E91-B},
number={5},
pages={1581-1588},
abstract={The multistage Wiener filter (MWF) outperforms the full rank Wiener filter in low sample support environments. However, the MWF adaptive process should be stopped at an optimum stage to get the best performance. There are two methods to stop the MWF adaptive process. One method is to calculate until the final full-stage, and the second method is to terminate at r-stage less than full-stage. The computational load is smaller in the latter method, however, a performance degradation is caused by an additional or subtractive stage calculation. Therefore, it is very important for the r-stage calculation to stop an adaptive process at the optimum stage. In this paper, we propose a simple method based on a cross-correlation coefficient to stop the MWF adaptive process. Because its coefficient is calculated by the MWF forward recursion, the optimum stage is determined automatically and additional calculations are avoided. The performance was evaluated by simulation examples, demonstrating the superiority of the proposed method.},
keywords={},
doi={10.1093/ietcom/e91-b.5.1581},
ISSN={1745-1345},
month={May},}
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TY - JOUR
TI - A Simple Method to Stop an Adaptive Process for the Multistage Wiener Filter
T2 - IEICE TRANSACTIONS on Communications
SP - 1581
EP - 1588
AU - Junichiro SUZUKI
AU - Yoshikazu SHOJI
AU - Hiroyoshi YAMADA
AU - Yoshio YAMAGUCHI
AU - Masahiro TANABE
PY - 2008
DO - 10.1093/ietcom/e91-b.5.1581
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E91-B
IS - 5
JA - IEICE TRANSACTIONS on Communications
Y1 - May 2008
AB - The multistage Wiener filter (MWF) outperforms the full rank Wiener filter in low sample support environments. However, the MWF adaptive process should be stopped at an optimum stage to get the best performance. There are two methods to stop the MWF adaptive process. One method is to calculate until the final full-stage, and the second method is to terminate at r-stage less than full-stage. The computational load is smaller in the latter method, however, a performance degradation is caused by an additional or subtractive stage calculation. Therefore, it is very important for the r-stage calculation to stop an adaptive process at the optimum stage. In this paper, we propose a simple method based on a cross-correlation coefficient to stop the MWF adaptive process. Because its coefficient is calculated by the MWF forward recursion, the optimum stage is determined automatically and additional calculations are avoided. The performance was evaluated by simulation examples, demonstrating the superiority of the proposed method.
ER -