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Blind Source Separation [electronic resource] : Dependent Component Analysis / by Yong Xiang, Dezhong Peng, Zuyuan Yang.

By: Xiang, Yong [author.].
Contributor(s): Peng, Dezhong [author.] | Yang, Zuyuan [author.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: SpringerBriefs in Electrical and Computer Engineering: Publisher: Singapore : Springer Singapore : Imprint: Springer, 2015Description: XII, 94 p. 30 illus., 13 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9789812872272.Subject(s): Engineering | Electrical engineering | Electronic circuits | Engineering | Signal, Image and Speech Processing | Communications Engineering, Networks | Circuits and SystemsAdditional physical formats: Printed edition:: No titleDDC classification: 621.382 Online resources: Click here to access online
Contents:
Introduction -- DCA Exploiting Nonnegativity -- DCA Utilizing Time-Frequency Analysis (TFA) -- DCA Employing Precoding -- Summary and Future Work.
In: Springer eBooksSummary: 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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Introduction -- DCA Exploiting Nonnegativity -- DCA Utilizing Time-Frequency Analysis (TFA) -- DCA Employing Precoding -- Summary and Future Work.

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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