Design of Discrete Coefficient FIR Linear Phase Filters Using Hopfield Neural Networks

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概要

• 論文の詳細を見る

• A novel method is presented for designing discrete coefficient FIR linear phase filters using Hopfield neural networks. The proposed method is based on the minimization of the energy function of Hopfield neural networks. In the proposed method, the optimal solution for each filter gain factor is first searched for, then the optimal filter gain factor is selected. Therefore, a good solution in the specified criterion can be obtained. The feature of the proposed method is that it can be used to design FIR linear phase filters with different criterions simultaneously. A design example is presented to demonstrate the effectiveness of the proposed method.

• 一般社団法人電子情報通信学会の論文
• 1995-08-25

著者

• IWAKURA Hiroshi

  Department of Communications and Systems, University of Electro-Communications

• Zhang Xi

  Department Of Chemistry Division Of Material Sciences Graduate School Of Natural Science And Technol

• Iwakura H

  Kitano Hospital Osaka Jpn

• Iwakura Hiroshi

  Department Of Communications And Systems University Of Electro-communications

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