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A Novel CFNN Model for Designing Complex FIR Digital Filters

  • Ma Xiaoyan
  • Yang Jun
  • He Zhaohui
  • Qin Jiangmin
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4221)

Abstract

A complex feedforward neural network (CFNN) model is proposed via energy function optimum theory and the complex frequency response of complex finite impulse response (FIR) digital filter. Then the convergence of the model is proved, and the universality of the model is studied. Simulation results show that the proposed CFNN model can achieve a good approach to an arbitrary digital filter and has universal performance.

Keywords

Finite Impulse Response Finite Impulse Response Filter Universal Performance Phase Frequency Characteristic Finite Impulse Response Digital Filter 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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    Jiezhao, Z., Renfa, L.: Study on the Optimum Design of the High-Order Multi-Band-Pass Filter. Acta Electronica Sinica 30(1), 87–89 (2002)Google Scholar
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    Xiaohua, W., Yigang, H., Jiezhao, Z.: Optimized Design of the Four-type FIR Filter based on Neural Networks. Journal of Circuits and Systems 8(5), 97–100 (2003)Google Scholar
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    Zhaohui, H., Jiangmin, Q., Jun, Y., Jingang, H.: Design of FIR Digital Filter Using CFNN. In: The 7th ICEMI, Beijing (2005)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Ma Xiaoyan
    • 1
  • Yang Jun
    • 1
  • He Zhaohui
    • 1
  • Qin Jiangmin
    • 1
  1. 1.Air Force Radar AcademyWuhanChina

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