Blind Source Separation

Dependent Component Analysis

  • Yong Xiang
  • Dezhong Peng
  • Zuyuan Yang

Part of the SpringerBriefs in Electrical and Computer Engineering book series (BRIEFSELECTRIC)

Also part of the SpringerBriefs in Signal Processing book sub series (BRIEFSSIGNAL)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Yong Xiang, Dezhong Peng, Zuyuan Yang
    Pages 1-17
  3. Yong Xiang, Dezhong Peng, Zuyuan Yang
    Pages 49-71
  4. Yong Xiang, Dezhong Peng, Zuyuan Yang
    Pages 73-90
  5. Yong Xiang, Dezhong Peng, Zuyuan Yang
    Pages 91-94

About this book

Introduction

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.

Keywords

Blind Source Separation (BSS) Dependent Component Analysis (DCA) First Order Precoding Nonnegative Matrix Factorization Second Order Precoding Time-Frequency Analysis (TFA)

Authors and affiliations

  • Yong Xiang
    • 1
  • Dezhong Peng
    • 2
  • Zuyuan Yang
    • 3
  1. 1.School of Information TechnologyDeakin UniversityMelbourneAustralia
  2. 2.Computer ScienceSichuan UniversityChengduChina
  3. 3.Faculty of AutomationGuangdong University of TechnologyGuangzhouChina

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-287-227-2
  • Copyright Information The Author(s) 2015
  • Publisher Name Springer, Singapore
  • eBook Packages Engineering
  • Print ISBN 978-981-287-226-5
  • Online ISBN 978-981-287-227-2
  • Series Print ISSN 2191-8112
  • Series Online ISSN 2191-8120
  • About this book
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