| Presentation | 2014-01-23 A Study of Sparse FIR Filter Design Using PSO Toma MIYATA, Kenji SUYAMA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(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) |
| Keyword(in English) | particle swarm optimization / FIR filter / sparse / minimax approximation |
| Paper # | SIP2013-107,RCS2013-277 |
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| Conference Information | |
| Committee | RCS |
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| Conference Date | 2014/1/16(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Radio Communication Systems (RCS) |
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| Language | JPN |
| 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 |
| 1st Author's Name | Toma MIYATA |
| 1st Author's Affiliation | School of Engineering, Tokyo Denki University() |
| 2nd Author's Name | Kenji SUYAMA |
| 2nd Author's Affiliation | School of Engineering, Tokyo Denki University |
| Date | 2014-01-23 |
| Paper # | SIP2013-107,RCS2013-277 |
| Volume (vol) | vol.113 |
| Number (no) | 386 |
| Page | pp.pp.- |
| #Pages | 4 |
| Date of Issue | |