Adaptive Filter Algorithms For Complex and Quaternion Data
von Thomas K. Paul Tokunbo Ogunfunmi
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Beschreibung
This book provides readers with a thorough exposition of adaptive filter algorithms applicable for nonlinear systems, kernel-based systems and for complex and quaternionic data. The authors describe in detail the algorithms and methods used for adaptive filtering in these circumstances. They present an introduction to linear adaptive filters, adaptive filters for complex data, and kernel adaptive filters. They also discuss new algorithms for using Kernel-based adaptive algorithms for complex or quaternionic data.
Provides readers with a thorough exposition of adaptive filter algorithms applicable for nonlinear systems, kernel-based systems and for complex and quaternionic data;
Includes a clear, concise description of the algorithms and recent research results in this area;
Describes design methods for linear and nonlinear adaptive algorithms for complex and quaternionic data.
This book provides readers with a thorough exposition of adaptive filter algorithms applicable for nonlinear systems, kernel-based systems and for complex and quaternionic data. The authors describe in detail the algorithms and methods used for adaptive filtering in these circumstances. They present an introduction to linear adaptive filters, adaptive filters for complex data, and kernel adaptive filters. They also discuss new algorithms for using Kernel-based adaptive algorithms for complex or quaternionic data. Provides readers with a thorough exposition of adaptive filter algorithms applicable for nonlinear systems, kernel-based systems and for complex and quaternionic data Includes a clear, concise description of the algorithms and recent research results in this area Describes design methods for linear and nonlinear adaptive algorithms for complex and quaternionic data
Autor*in
Thomas K. Paul
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