著者
Shinichi MOGAMI Yoshiki MITSUI Norihiro TAKAMUNE Daichi KITAMURA Hiroshi SARUWATARI Yu TAKAHASHI Kazunobu KONDO Hiroaki NAKAJIMA Hirokazu KAMEOKA
出版者
The Institute of Electronics, Information and Communication Engineers
雑誌
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences (ISSN:09168508)
巻号頁・発行日
vol.E102-A, no.2, pp.458-463, 2019-02-01
被引用文献数
5

In this letter, we propose a new blind source separation method, independent low-rank matrix analysis based on generalized Kullback-Leibler divergence. This method assumes a time-frequency-varying complex Poisson distribution as the source generative model, which yields convex optimization in the spectrogram estimation. The experimental evaluation confirms the proposed method's efficacy.

言及状況

外部データベース (DOI)

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Our new paper entitled "Independent Low-Rank Matrix Analysis Based on Generalized Kullback-Leibler Divergence" is now available in IEICE Trans. This is the world’s first attempt to realize convex-optimization-based ILRMA w.r.t. source modeling parameters. https://t.co/xWAYMnY6jh

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