| Presentation | 2020-01-24 Design of sparse filters using a neural network Taro Itani, Masayoshi Nakamoto, Naoyuki Aikawa, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | A sparse filter is a digital filter that contains zero coefficients. By designing a sparse filter with a redundant filter order, a higher-performance filter can be designed than a low-order nonsparse filter with the same number of multipliers. In the design of sparse filters, it can be regarded as a combinatorial optimization problem of selecting which coefficient is 0. In order to solve this problem, a huge amount of calculation time is required. Therefore, this study proposes a sparse filter design method based on a neural network using sparse filters designed in advance as learning data. It is confirmed that the performance of the designed sparse filter can be improved by increasing the number of training data by this design method. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | disital filters / sparsity / neural network |
| Paper # | IT2019-75,SIP2019-88,RCS2019-305 |
| Date of Issue | 2020-01-16 (IT, SIP, RCS) |
| Conference Information | |
| Committee | IT / SIP / RCS |
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| Conference Date | 2020/1/23(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Hiroshima City Youth Center |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Jun Muramatsu(NTT) / Naoyuki Aikawa(TUS) / Tomoaki Otsuki(Keio Univ.) |
| Vice Chair | Tadashi Wadayama(Nagoya Inst. of Tech.) / Kazunori Hayashi(Osaka City Univ) / Yukihiro Bandou(NTT) / Satoshi Suyama(NTT DoCoMo) / Fumiaki Maehara(Waseda Univ.) / Toshihiko Nishimura(Hokkaido Univ.) |
| Secretary | Tadashi Wadayama(Saga Univ.) / Kazunori Hayashi(Nagano Pref Inst. of Tech.) / Yukihiro Bandou(Hiroshima Univ.) / Satoshi Suyama(Hosei Univ.) / Fumiaki Maehara(NTT) / Toshihiko Nishimura(Kyushu Univ.) |
| Assistant | Hideki Yagi(UEC) / Kenjiro Sugimoto(Waseda Univ.) / Kazushi Muraoka(NEC) / Shinsuke Ibi(Doshisha Univ.) / Koichi Adachi(Univ. of Electro-Comm.) / Osamu Nakamura(Sharp) / Manabu Sakai(Mitsubishi Electric) |
| Paper Information | |
| Registration To | Technical Committee on Information Theory / Technical Committee on Signal Processing / Technical Committee on Radio Communication Systems |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Design of sparse filters using a neural network |
| Sub Title (in English) | |
| Keyword(1) | disital filters |
| Keyword(2) | sparsity |
| Keyword(3) | neural network |
| 1st Author's Name | Taro Itani |
| 1st Author's Affiliation | Hiroshima University(Hiroshima Univ.) |
| 2nd Author's Name | Masayoshi Nakamoto |
| 2nd Author's Affiliation | Hiroshima University(Hiroshima Univ.) |
| 3rd Author's Name | Naoyuki Aikawa |
| 3rd Author's Affiliation | Tokyo university of science(Tokyo univ. of science) |
| Date | 2020-01-24 |
| Paper # | IT2019-75,SIP2019-88,RCS2019-305 |
| Volume (vol) | vol.119 |
| Number (no) | IT-376,SIP-377,RCS-378 |
| Page | pp.pp.227-232(IT), pp.227-232(SIP), pp.227-232(RCS), |
| #Pages | 6 |
| Date of Issue | 2020-01-16 (IT, SIP, RCS) |