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基于sigmoid函数的Volterra自适应有源噪声对消器

张家树 肖先赐

张家树, 肖先赐. 基于sigmoid函数的Volterra自适应有源噪声对消器[J]. 电子与信息学报, 2002, 24(4): 461-466.
引用本文: 张家树, 肖先赐. 基于sigmoid函数的Volterra自适应有源噪声对消器[J]. 电子与信息学报, 2002, 24(4): 461-466.
Zhang Jiashu, Xiao Xianci. Sigmoid-based Volterra adaptive active noise cancellation filters[J]. Journal of Electronics & Information Technology, 2002, 24(4): 461-466.
Citation: Zhang Jiashu, Xiao Xianci. Sigmoid-based Volterra adaptive active noise cancellation filters[J]. Journal of Electronics & Information Technology, 2002, 24(4): 461-466.

基于sigmoid函数的Volterra自适应有源噪声对消器

Sigmoid-based Volterra adaptive active noise cancellation filters

  • 摘要: 该文介绍了一种新颖的非线性自适应有源噪声对消器基于sigmoid函数的Volterra自适应有源噪声对消器,并采用输入信号和瞬时误差归一化的LMS自适应算法调整其系数。这种基于sigmoid函数的Volterra自适应有源噪声对消器具有参数少和便于实现的模快化结构等优点。仿真结果表明:这种基于sigmoid函数的Volterra自适应有源噪声对消系统具有良好的抗噪声性能。
  • S. Haykin, Adaptive filter theory, 3rd ed., Englewood cliffs, NJ, Prentice-Hall, 1996, 1-10.[2]A. Zerguine, M. Bettayeb, C. F. N. Cown, Hybrid LMS-LMF algorithm for adaptive echo cancellation, IEE Proc. -Vis. Image Signal Process., 1999, 146(4), 173-180.[3]V.J. Mathews, Adaptive polynomial filters, IEEE Signal Processing Magazine, 1991, 8(4), 10-26.[4]G.M. Raz, B. Van Veen, Baseband Volterra filters for implemening carrier based nonlinearities.IEEE Trans. on SP., 1998, SP-46(1), 103-114.[5]E. Bilgliieri, et al., Adaptive cancellation of nonlinear intersymbol interference foi vioceband data transmission, IEEE J. On SAC., 1984, 2(5), 765-777.[6]E. Roy, R. W. Stewart, T. S. Durrani, High-order system identification with an adaptive recmsive second-order polynomial filter, IEEE Signal Processing Letters, 1996, 3(10), 276-279.[7]张永平,郑南宁,李翠华,图像边缘提取的自适应Volterra滤波器设计,电子学报,1999,27(4).75-78.[8]张家树,肖先赐,混沌时间序列的Volterra自适应预测,物理学报,2000,49(3).403-408.[9]Zhang Jia-Shu, Xiao Xian-Ci, Predicting hyperchaotic time series using higher-order nobkubear FIR filters, Chin. Phys. Lett., 2001, 18(3), 337-340.[10]张家树,肖先赐,混沌时间序列的自适应高阶非线性滤波预测,物理学报,2000 49(7),1220-1226.[11]Q. P. Li, H. K. Kwan, Nonlinear adaptive IIR digital filters for linear svstem modeling, IEEE Trans. on SP., 1995, SP-43(9), 2190-2193.[12]扬家兴,周舜云,神经网络自适应噪声对消器仿真,数据采集与处理,1998,13(1),74-77.[13]Zhang Jia-Shu, Wan Ji-Hong, Xian-Ci Xiao, Adaptive nonlinear feedback control of chaoticsystem based on reduced parameter quadratic predictor, Chinese Physics, 2001, 10(2), 97-102.[14]张家树,肖先赐,用一种少参数非线性自适应滤波器自适应预测低维混沌时间序列,物理学报,2000,49(12).2333-2339.
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出版历程
  • 收稿日期:  2000-05-28
  • 修回日期:  2001-07-05
  • 刊出日期:  2002-04-19

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