| Presentation | 2022-11-24 A Study on Compressed Sensing Using de Bruijn Sequence and CDMA Kaede Abe, Akio Tsuneda, |
|---|---|
| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Compressive sensing is a data acquisition theory that enables signal reconstruction from a small number of measurements for sparse signals. In this paper, we assume that sparse signals are binary (0,1) and the column vectors of measurement matrices are bipolar ones using de Bruijn sequences generated by a nonlinear feedback shift register (NFSR). We discuss the compressive sensing using CDMA (code division multiple access) principle which is one of multiple access techniques. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Compressed sensing / CDMA / de Bruijn sequence / observation matrix |
| Paper # | NLP2022-58 |
| Date of Issue | 2022-11-17 (NLP) |
| Conference Information | |
| Committee | NLP |
|---|---|
| Conference Date | 2022/11/24(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Akio Tsuneda(Kumamoto Univ.) |
| Vice Chair | Hiroyuki Torikai(Hosei Univ.) |
| Secretary | Hiroyuki Torikai(Sojo Univ.) |
| Assistant | Yuichi Yokoi(Nagasaki Univ.) / Yoshikazu Yamanaka(Utsunomiya Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Nonlinear Problems |
|---|---|
| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Study on Compressed Sensing Using de Bruijn Sequence and CDMA |
| Sub Title (in English) | |
| Keyword(1) | Compressed sensing |
| Keyword(2) | CDMA |
| Keyword(3) | de Bruijn sequence |
| Keyword(4) | observation matrix |
| 1st Author's Name | Kaede Abe |
| 1st Author's Affiliation | Kumamoto University(Kumamoto Univ.) |
| 2nd Author's Name | Akio Tsuneda |
| 2nd Author's Affiliation | Kumamoto University(Kumamoto Univ.) |
| Date | 2022-11-24 |
| Paper # | NLP2022-58 |
| Volume (vol) | vol.122 |
| Number (no) | NLP-280 |
| Page | pp.pp.9-12(NLP), |
| #Pages | 4 |
| Date of Issue | 2022-11-17 (NLP) |