| Description |
1 online resource |
| Series |
SpringerBriefs in electrical and computer engineering |
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SpringerBriefs in electrical and computer engineering.
|
| Contents |
Preface; Acknowledgments; Contents; 1 Introduction; 1.1 Background of Blind Source Separation; 1.2 Statistics Based Methods for Blind Source Separation; 1.2.1 Higher-Order Statistics Based Methods; 1.2.2 Second-Order Statistics Based Methods; 1.3 Blind Source Separation via Dependent Component Analysis; 1.3.1 Scenarios of Mutually Correlated Sources; 1.3.2 Dependent Component Analysis Based Methods; References; 2 Dependent Component Analysis Exploiting Nonnegativity and/or Time-Domain Sparsity; 2.1 Nonnegative Sparse Representation Based Methods |
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2.1.1 Sparsity Measures for Nonnegative Signals2.1.2 Estimation of Mixing Matrix and Source Signals ; 2.1.3 Uniqueness Conditions; 2.2 Convex Geometry Analysis Based Methods; 2.2.1 Geometric Features ; 2.2.2 Estimation of Source Signals; 2.2.3 Source Identifiability Analysis; 2.3 Nonnegative Matrix Factorization Based Methods; 2.3.1 Nonnegative Matrix Factorization Models; 2.3.2 Estimation of Mixing Matrix and Source Signals; 2.3.3 Algorithm Analysis; References; 3 Dependent Component Analysis Using Time-Frequency Analysis; 3.1 Fundamentals of TFA |
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3.2 TFA-Based Methods for Mixing Matrix Estimation3.2.1 System Model and Existing Works; 3.2.2 Mixing Matrix Estimation Under Relaxed TF Sparsity; 3.2.3 Mixing Matrix Estimation Under Local TF Sparsity; 3.3 TFA-Based Methods for Source Recovery; 3.3.1 Source Recovery Under Strong TF Sparsity; 3.3.2 Source Recovery Under Relaxed TF Sparsity; 3.3.3 Recovery of Non-sparse Dependent Sources; References; 4 Dependent Component Analysis Using Precoding; 4.1 Concept of Precoding Based Dependent Component Analysis; 4.2 Precoding Based Time-Domain Method; 4.3 Precoding Based Z-Domain Methods |
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4.3.1 Using Second-Order Precoders4.3.2 Using First-Order Precoders; References; 5 Future Work; 5.1 Future Work for DCA Exploiting Nonnegativity and/or Time-Domain Sparsity; 5.2 Future Work for DCA Exploiting Time-Frequency Analysis (TFA); 5.3 Future Work for DCA Exploiting Precoding; References |
| Summary |
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 |
| Notes |
Title from PDF title page (viewed on Sept. 26, 2014) |
| Bibliography |
Includes bibliographical references and index |
| Subject |
Blind source separation.
|
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TECHNOLOGY & ENGINEERING -- Mechanical.
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Blind source separation
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| Form |
Electronic book
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| Author |
Peng, Dezhong, author
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|
Yang, Zeyuan, author
|
| ISBN |
9789812872272 |
|
9812872272 |
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