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".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
O cancelamento de ruído adaptativo usando filtros adaptativos é um método conhecido para remover ruído que interfere nas medições de sinal. O cancelador de ruído adaptativo realiza a filtragem com base na situação atual por meio de um processo de janelamento. A forma da função de janela determina o desempenho de rastreamento do cancelador de ruído adaptativo em relação à flutuação da propriedade do sistema desconhecido pelo qual o ruído (sinal de referência) passa. No entanto, o formato da função da janela no campo da filtragem adaptativa ainda não foi considerado em detalhes. Este estudo trata matematicamente o efeito da função janela no cancelador de ruído adaptativo e propõe um método de otimização para a função janela em situações onde o processamento offline pode ser realizado, como medições de sinais biomédicos. Também demonstramos a validade da função de janela otimizada através de experimentos numéricos.
Yusuke MATSUBARA
Aichi Prefectural University
Naohiro TODA
Aichi Prefectural University
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Copiar
Yusuke MATSUBARA, Naohiro TODA, "Optimization of the Window Function in an Adaptive Noise Canceller" in IEICE TRANSACTIONS on Fundamentals,
vol. E101-A, no. 11, pp. 1854-1860, November 2018, doi: 10.1587/transfun.E101.A.1854.
Abstract: Adaptive noise cancellation using adaptive filters is a known method for removing noise that interferes with signal measurements. The adaptive noise canceller performs filtering based on the current situation through a windowing process. The shape of the window function determines the tracking performance of the adaptive noise canceller with respect to the fluctuation of the property of the unknown system that noise (reference signal) passes. However, the shape of the window function in the field of adaptive filtering has not yet been considered in detail. This study mathematically treats the effect of the window function on the adaptive noise canceller and proposes an optimization method for the window function in situations where offline processing can be performed, such as biomedical signal measurements. We also demonstrate the validity of the optimized window function through numerical experiments.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E101.A.1854/_p
Copiar
@ARTICLE{e101-a_11_1854,
author={Yusuke MATSUBARA, Naohiro TODA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Optimization of the Window Function in an Adaptive Noise Canceller},
year={2018},
volume={E101-A},
number={11},
pages={1854-1860},
abstract={Adaptive noise cancellation using adaptive filters is a known method for removing noise that interferes with signal measurements. The adaptive noise canceller performs filtering based on the current situation through a windowing process. The shape of the window function determines the tracking performance of the adaptive noise canceller with respect to the fluctuation of the property of the unknown system that noise (reference signal) passes. However, the shape of the window function in the field of adaptive filtering has not yet been considered in detail. This study mathematically treats the effect of the window function on the adaptive noise canceller and proposes an optimization method for the window function in situations where offline processing can be performed, such as biomedical signal measurements. We also demonstrate the validity of the optimized window function through numerical experiments.},
keywords={},
doi={10.1587/transfun.E101.A.1854},
ISSN={1745-1337},
month={November},}
Copiar
TY - JOUR
TI - Optimization of the Window Function in an Adaptive Noise Canceller
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1854
EP - 1860
AU - Yusuke MATSUBARA
AU - Naohiro TODA
PY - 2018
DO - 10.1587/transfun.E101.A.1854
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E101-A
IS - 11
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - November 2018
AB - Adaptive noise cancellation using adaptive filters is a known method for removing noise that interferes with signal measurements. The adaptive noise canceller performs filtering based on the current situation through a windowing process. The shape of the window function determines the tracking performance of the adaptive noise canceller with respect to the fluctuation of the property of the unknown system that noise (reference signal) passes. However, the shape of the window function in the field of adaptive filtering has not yet been considered in detail. This study mathematically treats the effect of the window function on the adaptive noise canceller and proposes an optimization method for the window function in situations where offline processing can be performed, such as biomedical signal measurements. We also demonstrate the validity of the optimized window function through numerical experiments.
ER -