Blind Source Separation Dependent Component Analysis / by Yong Xiang, Dezhong Peng, Zuyuan Yang.

This book provides readers a complete and self-contained set of knowledge about dependent source separation, including the latest development in this field. The book gives an overview on blind source separation where three promising blind separation techniques that can tackle mutually correlated sou...

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Bibliographic Details
Main Authors: Xiang, Yong (Author), Peng, Dezhong (Author), Yang, Zuyuan (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Singapore : Springer Singapore : Imprint: Springer, 2015.
Edition:1st ed. 2015.
Series:SpringerBriefs in Signal Processing,
Springer eBook Collection.
Subjects:
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.

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505 0 |a Introduction -- DCA Exploiting Nonnegativity -- DCA Utilizing Time-Frequency Analysis (TFA) -- DCA Employing Precoding -- Summary and Future Work. 
520 |a This book provides readers a complete and self-contained set of knowledge about dependent source separation, including the latest development in this field. The book gives an overview on blind source separation where three promising blind separation techniques that can tackle mutually correlated sources are presented. The book further focuses on the non-negativity based methods, the time-frequency analysis based methods, and the pre-coding based methods, respectively. 
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