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
Pembatalan hingar suai menggunakan penapis suai ialah kaedah yang diketahui untuk mengeluarkan bunyi yang mengganggu pengukuran isyarat. Pembatal hingar adaptif melakukan penapisan berdasarkan situasi semasa melalui proses windowing. Bentuk fungsi tetingkap menentukan prestasi penjejakan pemadam hingar adaptif berkenaan dengan turun naik sifat sistem yang tidak diketahui yang dilalui oleh hingar (isyarat rujukan). Walau bagaimanapun, bentuk fungsi tetingkap dalam bidang penapisan adaptif masih belum dipertimbangkan secara terperinci. Kajian ini secara matematik merawat kesan fungsi tetingkap pada pembatalan hingar penyesuaian dan mencadangkan kaedah pengoptimuman untuk fungsi tetingkap dalam situasi di mana pemprosesan luar talian boleh dilakukan, seperti pengukuran isyarat bioperubatan. Kami juga menunjukkan kesahihan fungsi tetingkap yang dioptimumkan melalui eksperimen berangka.
Yusuke MATSUBARA
Aichi Prefectural University
Naohiro TODA
Aichi Prefectural University
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Salinan
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
Salinan
@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},}
Salinan
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 -