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	2014/05
形態種別	国際会議論文
査読	査読あり
標題	An alternating least-squares algorithm for approximate joint diagonalization and its application to blind source separation
執筆形態	共著
掲載誌名	2014 IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP)
掲載区分	国外
巻・号・頁	pp.2123-2127
著者・共著者	Shinya Saito, Kunio Oishi, and Toshihiro Furukawa
概要	This paper presents an iterative alternating least-squares (ALS) algorithm for alternately solving two different least- squares approximate joint diagonalization (LS-AJD) prob- lems for application to convolutive frequency-domain blind source separation (BSS). The constrained forward-model LS- AJD criterion is minimized to estimate the mixing matrix by using the method of Lagrange multipliers. The other criterion, based on backward modeling, is to find the diagonal matrices by the method of least squares. The method of Lagrange mul- tipliers is well suited for accelerating the convergence of the ALS algorithm. The correlation between the interfrequency power ratios is used to prevent misalignment permutation for the new BSS. Finally, we compare our results with those of conventional BSS in highly reverberant environments.
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