| Presentation | 2023-02-28 The target detection method through autocovariance matrices and its robust analysis Yusuke Ono, Linyu Peng, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | An autocovariance matrix can be used to describe the characteristic of time series data. If data follow the stationary process, this matrix is Hermitian positive definite (HPD). In this paper, we take into account that the space of HPD autocovariance matrices forms a Riemannian manifold and propose the target detection method that utilizes the Bures--Wasserstein metric of the HPD matrix manifold. For comparison, we introduce the affine invariant Riemannian metric (AIRM) and the log-Euclidean (LE) metric of HPD matrix manifolds. Furthermore, the robust analysis for geometric means and medians is conducted. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | HPD matrix manifold / Bures--Wasserstein metric / Robust analysis |
| Paper # | EA2022-84,SIP2022-128,SP2022-48 |
| Date of Issue | 2023-02-21 (EA, SIP, SP) |
| Conference Information | |
| Committee | SP / IPSJ-SLP / EA / SIP |
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| Conference Date | 2023/2/28(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Tomoki Toda(Nagoya Univ.) / Tomoki Toda(Nagoya Univ.) / Kenichi Furuya(Oita Univ.) / Toshihisa Tanaka(Tokyo Univ. Agri.&Tech.) |
| Vice Chair | / / Tatsuya Kako(NTT) / Junki Ono(Tokyo Metropolitan Univ.) / Koichi Ichige(Yokohama National Univ.) / Takayuki Nakachi(Ryukyu Univ.) |
| Secretary | (NTT) / (Univ. of Electro-Comm.) / Tatsuya Kako(NTT) / Junki Ono(Univ. of Electro-Comm.) / Koichi Ichige(NTT) / Takayuki Nakachi(RitsumeikanUniv.) |
| Assistant | Ryo Aihara(Mitsubishi Electric) / Daisuke Saito(Univ. of Tokyo) / Ryo Aihara(Mitsubishi Electric) / Daisuke Saito(Univ. of Tokyo) / Masato Nakayama(Osaka Sangyo Univ.) / Kouhei Yatabe(Tuat) / Taichi Yoshida(UEC) / Shoko Imaizumi(Chiba Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Speech / Special Interest Group on Spoken Language Processing / Technical Committee on Engineering Acoustics / Technical Committee on Signal Processing |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | The target detection method through autocovariance matrices and its robust analysis |
| Sub Title (in English) | |
| Keyword(1) | HPD matrix manifold |
| Keyword(2) | Bures--Wasserstein metric |
| Keyword(3) | Robust analysis |
| 1st Author's Name | Yusuke Ono |
| 1st Author's Affiliation | Keio University(Keio Univ.) |
| 2nd Author's Name | Linyu Peng |
| 2nd Author's Affiliation | Keio University(Keio Univ.) |
| Date | 2023-02-28 |
| Paper # | EA2022-84,SIP2022-128,SP2022-48 |
| Volume (vol) | vol.122 |
| Number (no) | EA-387,SIP-388,SP-389 |
| Page | pp.pp.55-60(EA), pp.55-60(SIP), pp.55-60(SP), |
| #Pages | 6 |
| Date of Issue | 2023-02-21 (EA, SIP, SP) |