オオイシ　クニオ   大石　邦夫    所属   コンピュータサイエンス学部 コンピュータサイエンス学科    職種   教授
言語種別	英語
発行・発表の年月	2017/08
形態種別	国際会議論文
査読	査読あり
標題	Overdetermined blind source separation using approximate joint diagonalization
執筆形態	共著
掲載誌名	60th IEEE Int. Midwest Symposium on Circuits and Syst.(MWSCAS-2017),Boston, USA
掲載区分	国外
巻・号・頁	pp.168-171
著者・共著者	Taiki. Asamizu, Shinya Saito, Kunio Oishi, and Toshihiro Furukawa
概要	Blind separation of mixtures has been achieved by approximate joint diagonalization (AJD) approaches. This paper presents an approach for overdetermined blind source separation (BSS) using AJD. The approach is based on an alternative minimization of the indirect and direct least-squares criteria to the diagonal matrices in the first phase and to the mixing matrix in the second phase, respectively. Simulation result demonstrates that the proposed algorithm is capable for achieving better separation performance in overdetermined mixtures than in determined mixtures at reduced complexity.
論文（査読付）ファイル	DOWNLOAD