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
Makalah ini mencadangkan algoritma penyesuaian untuk mengenal pasti sistem yang tidak diketahui yang mengandungi ciri amplitud tak linear. Biasanya, ketaklinearan adalah sangat kecil sehingga boleh diabaikan. Walau bagaimanapun, dalam sistem kos rendah, seperti pembatalan gema akustik menggunakan pembesar suara kecil, ketidaklinearan merosot prestasi pengenalpastian. Beberapa kaedah menghalang kemerosotan, anggaran siri polinomial atau Volterra, telah dicadangkan dan dikaji. Walau bagaimanapun, kaedah konvensional memerlukan kos pemprosesan yang tinggi. Dalam makalah ini, kami mencadangkan kaedah yang menghampiri ciri tak linear dengan lengkung linear sekeping dan menunjukkan dengan menggunakan simulasi komputer bahawa prestasi boleh dipertingkatkan dengan sangat baik. Kaedah yang dicadangkan juga boleh mengurangkan kos pemprosesan kepada hanya kira-kira dua kali ganda daripada sistem penapis penyesuaian linear.
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Salinan
Kensaku FUJII, Ryo AOKI, Mitsuji MUNEYASU, "A Low Processing Cost Adaptive Algorithm Identifying Nonlinear Unknown System with Piecewise Linear Curve" in IEICE TRANSACTIONS on Fundamentals,
vol. E92-A, no. 4, pp. 1129-1135, April 2009, doi: 10.1587/transfun.E92.A.1129.
Abstract: This paper proposes an adaptive algorithm for identifying unknown systems containing nonlinear amplitude characteristics. Usually, the nonlinearity is so small as to be negligible. However, in low cost systems, such as acoustic echo canceller using a small loudspeaker, the nonlinearity deteriorates the performance of the identification. Several methods preventing the deterioration, polynomial or Volterra series approximations, have been hence proposed and studied. However, the conventional methods require high processing cost. In this paper, we propose a method approximating the nonlinear characteristics with a piecewise linear curve and show using computer simulations that the performance can be extremely improved. The proposed method can also reduce the processing cost to only about twice that of the linear adaptive filter system.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E92.A.1129/_p
Salinan
@ARTICLE{e92-a_4_1129,
author={Kensaku FUJII, Ryo AOKI, Mitsuji MUNEYASU, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A Low Processing Cost Adaptive Algorithm Identifying Nonlinear Unknown System with Piecewise Linear Curve},
year={2009},
volume={E92-A},
number={4},
pages={1129-1135},
abstract={This paper proposes an adaptive algorithm for identifying unknown systems containing nonlinear amplitude characteristics. Usually, the nonlinearity is so small as to be negligible. However, in low cost systems, such as acoustic echo canceller using a small loudspeaker, the nonlinearity deteriorates the performance of the identification. Several methods preventing the deterioration, polynomial or Volterra series approximations, have been hence proposed and studied. However, the conventional methods require high processing cost. In this paper, we propose a method approximating the nonlinear characteristics with a piecewise linear curve and show using computer simulations that the performance can be extremely improved. The proposed method can also reduce the processing cost to only about twice that of the linear adaptive filter system.},
keywords={},
doi={10.1587/transfun.E92.A.1129},
ISSN={1745-1337},
month={April},}
Salinan
TY - JOUR
TI - A Low Processing Cost Adaptive Algorithm Identifying Nonlinear Unknown System with Piecewise Linear Curve
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1129
EP - 1135
AU - Kensaku FUJII
AU - Ryo AOKI
AU - Mitsuji MUNEYASU
PY - 2009
DO - 10.1587/transfun.E92.A.1129
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E92-A
IS - 4
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - April 2009
AB - This paper proposes an adaptive algorithm for identifying unknown systems containing nonlinear amplitude characteristics. Usually, the nonlinearity is so small as to be negligible. However, in low cost systems, such as acoustic echo canceller using a small loudspeaker, the nonlinearity deteriorates the performance of the identification. Several methods preventing the deterioration, polynomial or Volterra series approximations, have been hence proposed and studied. However, the conventional methods require high processing cost. In this paper, we propose a method approximating the nonlinear characteristics with a piecewise linear curve and show using computer simulations that the performance can be extremely improved. The proposed method can also reduce the processing cost to only about twice that of the linear adaptive filter system.
ER -