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".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
이 편지에서 우리가 제안한 접근 방식은 2D 이중 상보형(DC) 무한 임펄스 응답(IIR) 필터 뱅크 설계를 위해 독창적이고 간단한 셀룰러 신경망(CNN)을 사용하는 것입니다. 이를 위해 피드백 및 피드포워드 템플릿의 속성을 연구합니다. 몇 가지 예를 통해 이러한 템플릿의 일반화가 DC IIR 필터 뱅크 설계에 어떻게 사용될 수 있는지 보여줍니다. CNN의 안정성 제약을 고려하여 저역통과 필터 설계를 최적화하는 데 사용되는 라그랑지안 함수를 수정합니다. 제안된 방법과 설계된 필터 뱅크의 이미지 향상 및 복원 애플리케이션을 보여주는 설계 사례와 함께 간략한 결론을 제시합니다.
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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
부
@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},}
부
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 -