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
Este artigo apresenta um novo método baseado em implicações para minimização lógica em redes multiníveis de grande escala. Reduz significativamente o tamanho da rede através da adição e remoção repetida de sub-redes redundantes, utilizando implicações de múltiplos sinais e relacionamentos entre essas implicações. Estas são tratadas em um gráfico de implicação transitiva, proposto neste artigo, que oferece o uso prático de implicações para minimização lógica. O método proposto é uma grande promessa para a obtenção de um ambiente de design lógico interativo para redes de grande escala.
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Masayuki YUGUCHI, Kazutoshi WAKABAYASHI, Takeshi YOSHIMURA, "Logic Minimization for Large-Scale Networks Based on Multi-Signal Implications" in IEICE TRANSACTIONS on Fundamentals,
vol. E82-A, no. 11, pp. 2390-2397, November 1999, doi: .
Abstract: This paper presents a novel implication-based method for logic minimization in large-scale, multi-level networks. It significantly reduces network size through repeated addition and removal of redundant subnetworks, utilizing multi-signal implications and relationships among these implications. These are handled on a transitive implication graph, proposed in this paper, which offers the practical use of implications for logic minimization. The proposed method holds great promise for the achievement of an interactive logic design environment for large-scale networks.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e82-a_11_2390/_p
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@ARTICLE{e82-a_11_2390,
author={Masayuki YUGUCHI, Kazutoshi WAKABAYASHI, Takeshi YOSHIMURA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Logic Minimization for Large-Scale Networks Based on Multi-Signal Implications},
year={1999},
volume={E82-A},
number={11},
pages={2390-2397},
abstract={This paper presents a novel implication-based method for logic minimization in large-scale, multi-level networks. It significantly reduces network size through repeated addition and removal of redundant subnetworks, utilizing multi-signal implications and relationships among these implications. These are handled on a transitive implication graph, proposed in this paper, which offers the practical use of implications for logic minimization. The proposed method holds great promise for the achievement of an interactive logic design environment for large-scale networks.},
keywords={},
doi={},
ISSN={},
month={November},}
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TY - JOUR
TI - Logic Minimization for Large-Scale Networks Based on Multi-Signal Implications
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2390
EP - 2397
AU - Masayuki YUGUCHI
AU - Kazutoshi WAKABAYASHI
AU - Takeshi YOSHIMURA
PY - 1999
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E82-A
IS - 11
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - November 1999
AB - This paper presents a novel implication-based method for logic minimization in large-scale, multi-level networks. It significantly reduces network size through repeated addition and removal of redundant subnetworks, utilizing multi-signal implications and relationships among these implications. These are handled on a transitive implication graph, proposed in this paper, which offers the practical use of implications for logic minimization. The proposed method holds great promise for the achievement of an interactive logic design environment for large-scale networks.
ER -