Independent Component Analysis (ICA) and applications to blind source separation of temporomandibular (TMJ) sound signals

Independent Component Analysis (ICA) and applications to blind source separation of temporomandibular (TMJ) sound signals

The thesis is a proposed new method for blind source separation using non-casual filters. It also discussed the problem of BSS in the frequency domain.

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書目詳細資料
主要作者:	Guo, Yin Chao.
其他作者:	Lim, Mong King
格式:	Theses and Dissertations
出版:	2008
主題:	DRNTU::Engineering::Bioengineering
在線閱讀:	http://hdl.handle.net/10356/5771
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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