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

By:

Xiang, Yong [author.]

Contributor(s):

Series: SpringerBriefs in Electrical and Computer EngineeringPublisher: Singapore : Springer Singapore : Imprint: Springer, 2015Description: XII, 94 p. 30 illus., 13 illus. in color. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9789812872272

Subject(s):

Genre/Form:

Electronic books.

Additional physical formats: Printed edition:: No titleDDC classification:

621.382 23

LOC classification:

TK5102.9
TA1637-1638
TK7882.S65

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.

Item type:

eBooks

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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.