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Volume 19 Issue 4
Jul.  1997
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Huang Xiaoxia, Luo Shengqin, Lu Mingda. A CIRCUIT OF ARTIFICIAL NEURAL NETWORK FOR IMPLEMENTING STABLE ADAPTIVE IIR FILTER[J]. Journal of Electronics & Information Technology, 1997, 19(4): 445-450.
Citation: Huang Xiaoxia, Luo Shengqin, Lu Mingda. A CIRCUIT OF ARTIFICIAL NEURAL NETWORK FOR IMPLEMENTING STABLE ADAPTIVE IIR FILTER[J]. Journal of Electronics & Information Technology, 1997, 19(4): 445-450.

A CIRCUIT OF ARTIFICIAL NEURAL NETWORK FOR IMPLEMENTING STABLE ADAPTIVE IIR FILTER

  • Received Date: 1995-05-02
  • Rev Recd Date: 1996-05-07
  • Publish Date: 1997-07-19
  • A circuit of artificial neural network for implementing stable adaptive IIR filter is proposed. The circuit parameters effect the speed and stability of the adaptive process. The formula for the parameters selection is also given. So this kind of systems is suitable to be used processing the fast changing signals.
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  • Tank D W, Hopfield J J. Simple neural optimization networks: An A/D converter, signal decision circuit, and a linear prograffiming circuit. IEEE Trans. on CAS, 1986, CAS-33(5): 533-541.[2]Kennedy M P, Chuo L O. Neural networks for nonlinear programming. IEEE Trans. on CAS, 1987, CAS-35(5): 554-562.[3]罗胜钦,陆明达.稳定的准级联和并联自适应IIR滤波器.电子学报,1988, 18(11): 113-116.[4]黄晓霞,陆明达,罗胜钦.人工神经网络实现稳定的自适应IIR滤波器:[硕士论文].上海:同济大学电气系,1994年.[5]Lanimete M G,Treicher J R, Johnsan Jr. C R. SHARF, An algorithm for adapting IIR digital filters. IEEE Trans. on ASSP, 1980, ASSP-28(8): 428-440.
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