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Parameter estimation of analog circuits based on the fractional wavelet method

Parameter estimation of analog circuits based on the fractional wavelet method
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摘要 Aiming at the problem of parameter estimation in analog circuits, a new approach is proposed. The approach is based on the fractional wavelet to derive the Volterra series model of the circuit under test （CUT）. By the gradient search algorithm used in the Volterra model, the unknown parameters in the CUT are estimated and the Volterra model is identified. The simulations show that the parameter estimation results of the proposed method in the paper are better than those of other parameter estimation methods. Aiming at the problem of parameter estimation in analog circuits, a new approach is proposed. The approach is based on the fractional wavelet to derive the Volterra series model of the circuit under test （CUT）. By the gradient search algorithm used in the Volterra model, the unknown parameters in the CUT are estimated and the Volterra model is identified. The simulations show that the parameter estimation results of the proposed method in the paper are better than those of other parameter estimation methods.
作者 邓勇 张禾
机构地区 School of Mechatronic Engineering
出处 《Journal of Semiconductors》 EI CAS CSCD 2015年第3期127-134,共8页 半导体学报（英文版）
基金 Project supported by the Key Research Project of Sichuan Provincial Department of Education,China(No.13ZA0186)
关键词 analog circuits parameter estimation Volterra series fractional wavelet analog circuits parameter estimation Volterra series fractional wavelet
分类号 TN710 [电子电信—电路与系统]
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共引文献8

Journal of Semiconductors
2015年 第3期

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