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 filtrage à réponse impulsionnelle finie (FIR) est l'opération la plus gourmande en calcul dans le canaliseur d'un récepteur de communication sans fil. Des filtres de canal FIR d'ordre supérieur sont nécessaires dans le canaliseur pour répondre aux spécifications strictes d'atténuation des canaux adjacents des normes de communications sans fil. Le coût de calcul des filtres FIR est dominé par la complexité des multiplicateurs de coefficients. Même si de nombreuses méthodes permettant de réduire la complexité des multiplicateurs de filtres ont été proposées dans la littérature, ces travaux se sont concentrés sur les filtres d’ordre inférieur. Cet article présente une méthode d'élimination de sous-expression binaire basée sur le partitionnement de coefficients pour réaliser des filtres FIR de faible puissance. Nous montrons que les filtres FIR implémentés à l’aide de la méthode proposée consomment moins d’énergie et améliorent la vitesse par rapport aux implémentations de filtres existantes. Des exemples de conception des filtres de canal utilisés dans les récepteurs Digital Advanced Mobile Phone System (D-AMPS) et Personal Digital Cellular (PDC) montrent que la méthode proposée a permis d'obtenir une réduction moyenne de 23 % de l'additionneur complet et de la consommation d'énergie et une réduction de 23.3 % du retard sur la meilleure méthode existante. Les résultats de synthèse montrent que la méthode proposée offre une réduction moyenne de surface de 8 % et une réduction de puissance de 22 % par rapport à la méthode la plus connue dans la littérature.
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Jimson MATHEW, R. MAHESH, A.P. VINOD, Edmund M-K. LAI, "Realization of Low Power High-Speed Channel Filters with Stringent Adjacent Channel Attenuation Specifications for Wireless Communication Receivers" in IEICE TRANSACTIONS on Fundamentals,
vol. E91-A, no. 9, pp. 2564-2570, September 2008, doi: 10.1093/ietfec/e91-a.9.2564.
Abstract: Finite impulse response (FIR) filtering is the most computationally intensive operation in the channelizer of a wireless communication receiver. Higher order FIR channel filters are needed in the channelizer to meet the stringent adjacent channel attenuation specifications of wireless communications standards. The computational cost of FIR filters is dominated by the complexity of the coefficient multipliers. Even though many methods for reducing the complexity of filter multipliers have been proposed in literature, these works focused on lower order filters. This paper presents a coefficient-partitioning-based binary subexpression elimination method for realizing low power FIR filters. We show that the FIR filters implemented using proposed method consume less power and achieve speed improvement compared to existing filter implementations. Design examples of the channel filters employed in the Digital Advanced Mobile Phone System (D-AMPS) and Personal Digital Cellular (PDC) receivers show that the proposed method achieved 23% average reductions of full adder and power consumption and 23.3% reduction of delay over the best existing method. Synthesis results show that the proposed method offers average area reduction of 8% and power reduction of 22% over the best known method in literature.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e91-a.9.2564/_p
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@ARTICLE{e91-a_9_2564,
author={Jimson MATHEW, R. MAHESH, A.P. VINOD, Edmund M-K. LAI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Realization of Low Power High-Speed Channel Filters with Stringent Adjacent Channel Attenuation Specifications for Wireless Communication Receivers},
year={2008},
volume={E91-A},
number={9},
pages={2564-2570},
abstract={Finite impulse response (FIR) filtering is the most computationally intensive operation in the channelizer of a wireless communication receiver. Higher order FIR channel filters are needed in the channelizer to meet the stringent adjacent channel attenuation specifications of wireless communications standards. The computational cost of FIR filters is dominated by the complexity of the coefficient multipliers. Even though many methods for reducing the complexity of filter multipliers have been proposed in literature, these works focused on lower order filters. This paper presents a coefficient-partitioning-based binary subexpression elimination method for realizing low power FIR filters. We show that the FIR filters implemented using proposed method consume less power and achieve speed improvement compared to existing filter implementations. Design examples of the channel filters employed in the Digital Advanced Mobile Phone System (D-AMPS) and Personal Digital Cellular (PDC) receivers show that the proposed method achieved 23% average reductions of full adder and power consumption and 23.3% reduction of delay over the best existing method. Synthesis results show that the proposed method offers average area reduction of 8% and power reduction of 22% over the best known method in literature.},
keywords={},
doi={10.1093/ietfec/e91-a.9.2564},
ISSN={1745-1337},
month={September},}
Copier
TY - JOUR
TI - Realization of Low Power High-Speed Channel Filters with Stringent Adjacent Channel Attenuation Specifications for Wireless Communication Receivers
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2564
EP - 2570
AU - Jimson MATHEW
AU - R. MAHESH
AU - A.P. VINOD
AU - Edmund M-K. LAI
PY - 2008
DO - 10.1093/ietfec/e91-a.9.2564
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E91-A
IS - 9
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - September 2008
AB - Finite impulse response (FIR) filtering is the most computationally intensive operation in the channelizer of a wireless communication receiver. Higher order FIR channel filters are needed in the channelizer to meet the stringent adjacent channel attenuation specifications of wireless communications standards. The computational cost of FIR filters is dominated by the complexity of the coefficient multipliers. Even though many methods for reducing the complexity of filter multipliers have been proposed in literature, these works focused on lower order filters. This paper presents a coefficient-partitioning-based binary subexpression elimination method for realizing low power FIR filters. We show that the FIR filters implemented using proposed method consume less power and achieve speed improvement compared to existing filter implementations. Design examples of the channel filters employed in the Digital Advanced Mobile Phone System (D-AMPS) and Personal Digital Cellular (PDC) receivers show that the proposed method achieved 23% average reductions of full adder and power consumption and 23.3% reduction of delay over the best existing method. Synthesis results show that the proposed method offers average area reduction of 8% and power reduction of 22% over the best known method in literature.
ER -