人工神经网络实现稳定的自适应HR滤波器
A CIRCUIT OF ARTIFICIAL NEURAL NETWORK FOR IMPLEMENTING STABLE ADAPTIVE IIR FILTER
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摘要: 本文提出了用人工神经网络实现稳定的自适应IIR滤波器的电路结构,讨论了结构参数对滤波器自适应收敛速度和稳定性的影响,给出了初步研究的参数选择经验公式,从而有可能使此神经自适应系统能实际应用于快速变化信号的实时处理。Abstract: 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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