The Use of CNN for 2D Two-Channel DC IIR Filter Bank Design(Regular Section)

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概要

• 論文の詳細を見る

• 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 feed-forward 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.

• 社団法人電子情報通信学会の論文
• 2002-11-01

著者

• Akman Emir

  The Department Of Electrical & Electronics Engineering Istanbul University

• KAYABOL Koray

  the Department of Electrical & Electronics Engineering, Istanbul University

• Kayabol Koray

  The Department Of Electrical & Electronics Engineering Istanbul University

関連論文

• The Use of CNN for 2D Two-Channel DC IIR Filter Bank Design(Regular Section)

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