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
Une représentation polyphasée unifiée des bancs de filtres d'analyse et de synthèse est présentée dans cet article, puis la mise en œuvre efficace sur des processeurs de signaux numériques (DSP) est étudiée. En particulier, le nombre d'accès à la mémoire, la consommation d'énergie, la précision du traitement et les cycles d'instructions requis sont discutés. Tout d'abord, une représentation unifiée est donnée, puis deux types de procédures, les procédures basées sur le système SIMO et les procédures basées sur le système MISO, sont présentées, où SIMO et MISO sont les abréviations de entrée unique/sortie multiple et entrée multiple/entrée unique. sortie, respectivement. Ces procédures sont comparées les unes aux autres. Il est démontré que le nombre de données chargées dans la procédure basée sur le système SIMO est la moitié de celui de la procédure basée sur le système MISO pour les bancs de filtres à deux canaux. L'implémentation de MLes banques de filtres à canaux sont également abordées.
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Naoki MIZUTANI, Shogo MURAMATSU, Hisakazu KIKUCHI, "Memory Access Estimation of Filter Bank Implementation on Different DSP Architectures" in IEICE TRANSACTIONS on Fundamentals,
vol. E84-A, no. 8, pp. 1951-1959, August 2001, doi: .
Abstract: A unified polyphase representation of analysis and synthesis filter banks is introduced in this paper, and then the efficient implementation on digital signal processors (DSP) is investigated. Especially, the number of memory accesses, power consumption, processing accuracy and the required instruction cycles are discussed. Firstly, a unified representation is given, and then two types of procedures, SIMO system-based and MISO system-based procedures, are shown, where SIMO and MISO are abbreviations for single-input/multiple-output and multiple-input/single-output, respectively. These procedures are compared to each other. It is shown that the number of data load in SIMO system-based procedure is a half of that in MISO system-based procedure for two-channel filter banks. The implementation of M-channel filter banks is also discussed.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e84-a_8_1951/_p
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@ARTICLE{e84-a_8_1951,
author={Naoki MIZUTANI, Shogo MURAMATSU, Hisakazu KIKUCHI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Memory Access Estimation of Filter Bank Implementation on Different DSP Architectures},
year={2001},
volume={E84-A},
number={8},
pages={1951-1959},
abstract={A unified polyphase representation of analysis and synthesis filter banks is introduced in this paper, and then the efficient implementation on digital signal processors (DSP) is investigated. Especially, the number of memory accesses, power consumption, processing accuracy and the required instruction cycles are discussed. Firstly, a unified representation is given, and then two types of procedures, SIMO system-based and MISO system-based procedures, are shown, where SIMO and MISO are abbreviations for single-input/multiple-output and multiple-input/single-output, respectively. These procedures are compared to each other. It is shown that the number of data load in SIMO system-based procedure is a half of that in MISO system-based procedure for two-channel filter banks. The implementation of M-channel filter banks is also discussed.},
keywords={},
doi={},
ISSN={},
month={August},}
Copier
TY - JOUR
TI - Memory Access Estimation of Filter Bank Implementation on Different DSP Architectures
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1951
EP - 1959
AU - Naoki MIZUTANI
AU - Shogo MURAMATSU
AU - Hisakazu KIKUCHI
PY - 2001
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E84-A
IS - 8
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - August 2001
AB - A unified polyphase representation of analysis and synthesis filter banks is introduced in this paper, and then the efficient implementation on digital signal processors (DSP) is investigated. Especially, the number of memory accesses, power consumption, processing accuracy and the required instruction cycles are discussed. Firstly, a unified representation is given, and then two types of procedures, SIMO system-based and MISO system-based procedures, are shown, where SIMO and MISO are abbreviations for single-input/multiple-output and multiple-input/single-output, respectively. These procedures are compared to each other. It is shown that the number of data load in SIMO system-based procedure is a half of that in MISO system-based procedure for two-channel filter banks. The implementation of M-channel filter banks is also discussed.
ER -