Paper Abstract and Keywords |
Presentation |
2020-10-30 13:30
On parameter identifications of Higher-Order IIR adaptive filters by using discrete chaotic systems Yutaro Arai, Yasunori Sugita, Tadashi Tsubone (NUT) CAS2020-15 NLP2020-36 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Since the structure of the error function is often multimodal, in case of a strategy that minimizes the error function in the parameter identification of higher-order IIR adaptive filters, the gradient method such as LMS may not be able to calculate the optimum filter coefficient. Multi-agent optimization algorithm can apply the collective behavior of organisms to search solutions, and can update filter coefficients without using gradient informations. We have developed a multi-agent optimization algorithm based on discrete chaos maps and we proposed an IIR filter design method that guarantees stability. In this study, we show simple examples of system identification of IIR filter by using our methods. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Adaptive IIR filter / Parameter identification / Multi-agent Optimization / Discrete chaotic system / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 120, no. 214, NLP2020-36, pp. 21-24, Oct. 2020. |
Paper # |
NLP2020-36 |
Date of Issue |
2020-10-22 (CAS, NLP) |
ISSN |
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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CAS2020-15 NLP2020-36 |
Conference Information |
Committee |
MBE NC NLP CAS |
Conference Date |
2020-10-29 - 2020-10-30 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Online |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
ME,NC,CAS,NLP |
Paper Information |
Registration To |
NLP |
Conference Code |
2020-10-MBE-NC-NLP-CAS |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
On parameter identifications of Higher-Order IIR adaptive filters by using discrete chaotic systems |
Sub Title (in English) |
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Keyword(1) |
Adaptive IIR filter |
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Parameter identification |
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Multi-agent Optimization |
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Discrete chaotic system |
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1st Author's Name |
Yutaro Arai |
1st Author's Affiliation |
Nagaoka University of Technology (NUT) |
2nd Author's Name |
Yasunori Sugita |
2nd Author's Affiliation |
Nagaoka University of Technology (NUT) |
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Tadashi Tsubone |
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Nagaoka University of Technology (NUT) |
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Speaker |
Author-1 |
Date Time |
2020-10-30 13:30:00 |
Presentation Time |
25 minutes |
Registration for |
NLP |
Paper # |
CAS2020-15, NLP2020-36 |
Volume (vol) |
vol.120 |
Number (no) |
no.213(CAS), no.214(NLP) |
Page |
pp.21-24 |
#Pages |
4 |
Date of Issue |
2020-10-22 (CAS, NLP) |
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