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Paper Abstract and Keywords
Presentation 2014-01-23 16:05
A Study of Sparse FIR Filter Design Using PSO
Toma Miyata, Kenji Suyama (Tokyo Denki Univ.) SIP2013-107 RCS2013-277
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, a sparse FIR filter design method using PSO is studied. In the method, IPSO is applied. The amplitude response is approximated to a desired characteristic in a minimax sense, and a penalty term is incorporated in an evaluation function to obtain a sparse impulse response of FIR filter. If the zero value of coefficient is found among the global best, then the coefficient value in the same position is fixed to zero for all particles. Finally, we demonstrated the effectivenesses of this study by several design examples.
Keyword (in Japanese) (See Japanese page) 
(in English) particle swarm optimization / FIR filter / sparse / minimax approximation / / / /  
Reference Info. IEICE Tech. Rep., vol. 113, no. 385, SIP2013-107, pp. 129-132, Jan. 2014.
Paper # SIP2013-107 
Date of Issue 2014-01-16 (SIP, RCS) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
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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)
Download PDF SIP2013-107 RCS2013-277

Conference Information
Committee RCS SIP  
Conference Date 2014-01-23 - 2014-01-24 
Place (in Japanese) (See Japanese page) 
Place (in English) Kyushu Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Signal Processing for Wireless Systems, etc. 
Paper Information
Registration To SIP 
Conference Code 2014-01-RCS-SIP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study of Sparse FIR Filter Design Using PSO 
Sub Title (in English)  
Keyword(1) particle swarm optimization  
Keyword(2) FIR filter  
Keyword(3) sparse  
Keyword(4) minimax approximation  
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1st Author's Name Toma Miyata  
1st Author's Affiliation Tokyo Denki University (Tokyo Denki Univ.)
2nd Author's Name Kenji Suyama  
2nd Author's Affiliation Tokyo Denki University (Tokyo Denki Univ.)
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Speaker Author-1 
Date Time 2014-01-23 16:05:00 
Presentation Time 25 minutes 
Registration for SIP 
Paper # SIP2013-107, RCS2013-277 
Volume (vol) vol.113 
Number (no) no.385(SIP), no.386(RCS) 
Page pp.129-132 
#Pages
Date of Issue 2014-01-16 (SIP, RCS) 


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