Adaptive Noise Reduction of Biomedical Signals with Improved Multiplication Free Adaptive Digital Filter
Summary :
This paper proposes the IMADF (improved multiplication-free adaptive digital filter) algorithm to cancel the background noise that spans nearly all frequency bandwidths in biomedical signals. Under conditions of zero-mean, wide-sense stationary and white Gaussian noise, we analyze the convergence characteristics of the IMADF with a FSE (fractionally-spaced equalizer). In the experimental results, the IMADF algorithm has the advantage in which has superior to a condition of low-frequency and slow data speed. This application gives an important significance in ensuring the objectivity of clinical information and in promoting the representation and the disease diagnosis.
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- IEICE TRANSACTIONS on Fundamentals Vol.E86-A No.6 pp.1326-1334
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- 2003/06/01
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- Special Section PAPER (Special Section on Papers Selected from 2002 International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC 2002))
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Dal Hwan YOON, Chi Ho LIN, "Adaptive Noise Reduction of Biomedical Signals with Improved Multiplication Free Adaptive Digital Filter" in IEICE TRANSACTIONS on Fundamentals,
vol. E86-A, no. 6, pp. 1326-1334, June 2003, doi: .
Abstract: This paper proposes the IMADF (improved multiplication-free adaptive digital filter) algorithm to cancel the background noise that spans nearly all frequency bandwidths in biomedical signals. Under conditions of zero-mean, wide-sense stationary and white Gaussian noise, we analyze the convergence characteristics of the IMADF with a FSE (fractionally-spaced equalizer). In the experimental results, the IMADF algorithm has the advantage in which has superior to a condition of low-frequency and slow data speed. This application gives an important significance in ensuring the objectivity of clinical information and in promoting the representation and the disease diagnosis.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e86-a_6_1326/_p
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@ARTICLE{e86-a_6_1326,
author={Dal Hwan YOON, Chi Ho LIN, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Adaptive Noise Reduction of Biomedical Signals with Improved Multiplication Free Adaptive Digital Filter},
year={2003},
volume={E86-A},
number={6},
pages={1326-1334},
abstract={This paper proposes the IMADF (improved multiplication-free adaptive digital filter) algorithm to cancel the background noise that spans nearly all frequency bandwidths in biomedical signals. Under conditions of zero-mean, wide-sense stationary and white Gaussian noise, we analyze the convergence characteristics of the IMADF with a FSE (fractionally-spaced equalizer). In the experimental results, the IMADF algorithm has the advantage in which has superior to a condition of low-frequency and slow data speed. This application gives an important significance in ensuring the objectivity of clinical information and in promoting the representation and the disease diagnosis.},
keywords={},
doi={},
ISSN={},
month={June},}
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TY - JOUR
TI - Adaptive Noise Reduction of Biomedical Signals with Improved Multiplication Free Adaptive Digital Filter
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1326
EP - 1334
AU - Dal Hwan YOON
AU - Chi Ho LIN
PY - 2003
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E86-A
IS - 6
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - June 2003
AB - This paper proposes the IMADF (improved multiplication-free adaptive digital filter) algorithm to cancel the background noise that spans nearly all frequency bandwidths in biomedical signals. Under conditions of zero-mean, wide-sense stationary and white Gaussian noise, we analyze the convergence characteristics of the IMADF with a FSE (fractionally-spaced equalizer). In the experimental results, the IMADF algorithm has the advantage in which has superior to a condition of low-frequency and slow data speed. This application gives an important significance in ensuring the objectivity of clinical information and in promoting the representation and the disease diagnosis.
ER -
English
