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 |
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) |
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 |
Keyword(5) |
|
Keyword(6) |
|
Keyword(7) |
|
Keyword(8) |
|
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.) |
3rd Author's Name |
|
3rd Author's Affiliation |
() |
4th Author's Name |
|
4th Author's Affiliation |
() |
5th Author's Name |
|
5th Author's Affiliation |
() |
6th Author's Name |
|
6th Author's Affiliation |
() |
7th Author's Name |
|
7th Author's Affiliation |
() |
8th Author's Name |
|
8th Author's Affiliation |
() |
9th Author's Name |
|
9th Author's Affiliation |
() |
10th Author's Name |
|
10th Author's Affiliation |
() |
11th Author's Name |
|
11th Author's Affiliation |
() |
12th Author's Name |
|
12th Author's Affiliation |
() |
13th Author's Name |
|
13th Author's Affiliation |
() |
14th Author's Name |
|
14th Author's Affiliation |
() |
15th Author's Name |
|
15th Author's Affiliation |
() |
16th Author's Name |
|
16th Author's Affiliation |
() |
17th Author's Name |
|
17th Author's Affiliation |
() |
18th Author's Name |
|
18th Author's Affiliation |
() |
19th Author's Name |
|
19th Author's Affiliation |
() |
20th Author's Name |
|
20th Author's Affiliation |
() |
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 |
4 |
Date of Issue |
2014-01-16 (SIP, RCS) |
|