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
Nesta carta, nossa abordagem proposta explora o uso da Rede Neural Celular (CNN) original e mais simples para o projeto de bancos de filtros 2D Duplamente Complementares (DC) de Resposta ao Impulso Infinito (IIR). As propriedades dos modelos de feedback e feedforward são estudadas para esse fim. Através de alguns exemplos é mostrado como generalizações desses templates podem ser utilizadas para projeto de bancos de filtros DC IIR. Modificamos a função Lagrangiana que é usada para otimizar um projeto de filtro passa-baixa considerando a restrição de estabilidade da CNN. São apresentadas as breves conclusões com exemplos de projetos que ilustram o método proposto e aplicações de aprimoramento e restauração de imagens de bancos de filtros projetados.
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Emir Tufan AKMAN, Koray KAYABOL, "The Use of CNN for 2D Two-Channel DC IIR Filter Bank Design" in IEICE TRANSACTIONS on Fundamentals,
vol. E85-A, no. 11, pp. 2551-2556, November 2002, doi: .
Abstract: In this letter, our proposed approach exploits the use of original and simplest Cellular Neural Network (CNN) for 2D Doubly Complementary (DC) Infinite Impulse Response (IIR) filter banks design. The properties of feedback and feedforward templates are studied for this purpose. Through some examples it is shown how generalizations of these templates can be used for DC IIR filter banks design. We modify Lagrangian function which is used for optimizing a low-pass filter design considering the constraint for stability of CNN. The brief conclusions with design examples that illustrate the proposed method and an image enhancement and restoration applications of designed filter banks are presented.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e85-a_11_2551/_p
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@ARTICLE{e85-a_11_2551,
author={Emir Tufan AKMAN, Koray KAYABOL, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={The Use of CNN for 2D Two-Channel DC IIR Filter Bank Design},
year={2002},
volume={E85-A},
number={11},
pages={2551-2556},
abstract={In this letter, our proposed approach exploits the use of original and simplest Cellular Neural Network (CNN) for 2D Doubly Complementary (DC) Infinite Impulse Response (IIR) filter banks design. The properties of feedback and feedforward templates are studied for this purpose. Through some examples it is shown how generalizations of these templates can be used for DC IIR filter banks design. We modify Lagrangian function which is used for optimizing a low-pass filter design considering the constraint for stability of CNN. The brief conclusions with design examples that illustrate the proposed method and an image enhancement and restoration applications of designed filter banks are presented.},
keywords={},
doi={},
ISSN={},
month={November},}
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TY - JOUR
TI - The Use of CNN for 2D Two-Channel DC IIR Filter Bank Design
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2551
EP - 2556
AU - Emir Tufan AKMAN
AU - Koray KAYABOL
PY - 2002
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E85-A
IS - 11
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - November 2002
AB - In this letter, our proposed approach exploits the use of original and simplest Cellular Neural Network (CNN) for 2D Doubly Complementary (DC) Infinite Impulse Response (IIR) filter banks design. The properties of feedback and feedforward templates are studied for this purpose. Through some examples it is shown how generalizations of these templates can be used for DC IIR filter banks design. We modify Lagrangian function which is used for optimizing a low-pass filter design considering the constraint for stability of CNN. The brief conclusions with design examples that illustrate the proposed method and an image enhancement and restoration applications of designed filter banks are presented.
ER -