Paper Abstract and Keywords |
Presentation |
2009-07-11 16:45
Improvement of Signal-to-noise Ratio Using Neural Networks Yongjian Chen, Masatake Akutagawa, Yohsuke Kinouchi (Univ. of Tokushima.) MBE2009-37 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In this paper, a novel filter is proposed by applying neural network (NN) ensemble where the noisy input signal and the reference one are the same in a learning process. Both incremental and batch mode are applied in the learning process of NNs that is better than generalized NN filters. This NN ensemble filter not only well reduces additive and multiplicative white noise inside signals, but also preserves signals’ characteristics. It is proved that the reduction of noise using NN ensemble filter is better than the improved ε nonlinear filter, wavelet filter and generalized NN filters which consists of one or more NNs in incremental mode while signal to noise ratio is lower. In the clinical EEG and EMG signals processing, the filter is capable of removing surface EMG and reducing EMG in EEG, and it is proved that there is randomicity in surface EMG. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Additive and Multiplicative Noise / Neural Network / Filter / EEG / EMG / / / |
Reference Info. |
IEICE Tech. Rep., vol. 109, no. 123, MBE2009-37, pp. 101-106, July 2009. |
Paper # |
MBE2009-37 |
Date of Issue |
2009-07-03 (MBE) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
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MBE2009-37 |
Conference Information |
Committee |
MBE |
Conference Date |
2009-07-10 - 2009-07-11 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
The University of Tokushima |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
ME in general |
Paper Information |
Registration To |
MBE |
Conference Code |
2009-07-MBE |
Language |
English (Japanese title is available) |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Improvement of Signal-to-noise Ratio Using Neural Networks |
Sub Title (in English) |
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Keyword(1) |
Additive and Multiplicative Noise |
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Neural Network |
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Filter |
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EEG |
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EMG |
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1st Author's Name |
Yongjian Chen |
1st Author's Affiliation |
The University of Tokushima. (Univ. of Tokushima.) |
2nd Author's Name |
Masatake Akutagawa |
2nd Author's Affiliation |
The University of Tokushima. (Univ. of Tokushima.) |
3rd Author's Name |
Yohsuke Kinouchi |
3rd Author's Affiliation |
The University of Tokushima. (Univ. of Tokushima.) |
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Speaker |
Author-1 |
Date Time |
2009-07-11 16:45:00 |
Presentation Time |
25 minutes |
Registration for |
MBE |
Paper # |
MBE2009-37 |
Volume (vol) |
vol.109 |
Number (no) |
no.123 |
Page |
pp.101-106 |
#Pages |
6 |
Date of Issue |
2009-07-03 (MBE) |
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