The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Este artigo trata de uma abordagem de espaço de estados para filtros digitais adaptativos de entalhe IIR de segunda ordem com pólos e zeros restritos. Um algoritmo iterativo simplificado é derivado do método gradiente descendente para minimizar a saída quadrática média de um filtro digital de entalhe adaptativo. Em seguida, a estabilidade e o viés de estimativa de parâmetros são analisados para o algoritmo iterativo simplificado. Um exemplo numérico é apresentado para demonstrar a validade e eficácia do filtro digital adaptativo de entalhe no espaço de estados proposto e da análise de viés de estimativa de parâmetros.
Yoichi HINAMOTO
NIT Kagawa College
Shotaro NISHIMURA
Shimane University
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Yoichi HINAMOTO, Shotaro NISHIMURA, "A State-Space Approach and Its Estimation Bias Analysis for Adaptive Notch Digital Filters with Constrained Poles and Zeros" in IEICE TRANSACTIONS on Fundamentals,
vol. E106-A, no. 3, pp. 582-589, March 2023, doi: 10.1587/transfun.2022EAP1034.
Abstract: This paper deals with a state-space approach for adaptive second-order IIR notch digital filters with constrained poles and zeros. A simplified iterative algorithm is derived from the gradient-descent method to minimize the mean-squared output of an adaptive notch digital filter. Then, stability and parameter-estimation bias are analyzed for the simplified iterative algorithm. A numerical example is presented to demonstrate the validity and effectiveness of the proposed adaptive state-space notch digital filter and parameter-estimation bias analysis.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.2022EAP1034/_p
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@ARTICLE{e106-a_3_582,
author={Yoichi HINAMOTO, Shotaro NISHIMURA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A State-Space Approach and Its Estimation Bias Analysis for Adaptive Notch Digital Filters with Constrained Poles and Zeros},
year={2023},
volume={E106-A},
number={3},
pages={582-589},
abstract={This paper deals with a state-space approach for adaptive second-order IIR notch digital filters with constrained poles and zeros. A simplified iterative algorithm is derived from the gradient-descent method to minimize the mean-squared output of an adaptive notch digital filter. Then, stability and parameter-estimation bias are analyzed for the simplified iterative algorithm. A numerical example is presented to demonstrate the validity and effectiveness of the proposed adaptive state-space notch digital filter and parameter-estimation bias analysis.},
keywords={},
doi={10.1587/transfun.2022EAP1034},
ISSN={1745-1337},
month={March},}
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TY - JOUR
TI - A State-Space Approach and Its Estimation Bias Analysis for Adaptive Notch Digital Filters with Constrained Poles and Zeros
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 582
EP - 589
AU - Yoichi HINAMOTO
AU - Shotaro NISHIMURA
PY - 2023
DO - 10.1587/transfun.2022EAP1034
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E106-A
IS - 3
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - March 2023
AB - This paper deals with a state-space approach for adaptive second-order IIR notch digital filters with constrained poles and zeros. A simplified iterative algorithm is derived from the gradient-descent method to minimize the mean-squared output of an adaptive notch digital filter. Then, stability and parameter-estimation bias are analyzed for the simplified iterative algorithm. A numerical example is presented to demonstrate the validity and effectiveness of the proposed adaptive state-space notch digital filter and parameter-estimation bias analysis.
ER -