Blind Source Separation: Dependent Component Analysis

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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.

Author(s): Yong Xiang, Dezhong Peng, Zuyuan Yang (auth.)
Series: SpringerBriefs in Electrical and Computer Engineering - SpringerBriefs in Signal Processing
Edition: 1
Publisher: Springer-Verlag Singapur
Year: 2015

Language: English
Pages: 94
Tags: Signal, Image and Speech Processing; Communications Engineering, Networks; Circuits and Systems

Front Matter....Pages i-xii
Introduction....Pages 1-17
Dependent Component Analysis Exploiting Nonnegativity and/or Time-Domain Sparsity....Pages 19-47
Dependent Component Analysis Using Time-Frequency Analysis....Pages 49-71
Dependent Component Analysis Using Precoding....Pages 73-90
Future Work....Pages 91-94