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Adaptive Filter Algorithms For Complex and Quaternion Data

Gebonden Engels 2026 9783032237972
€ 144,99
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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.

Specificaties

ISBN13:9783032237972
Taal:Engels
Bindwijze:Gebonden
Aantal pagina's:184
Uitgever:Springer Nature Switzerland

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Inhoudsopgave

Introduction.- Linear and Kernel Filter Theory.- Complex Data for Adaptive Filters.- The Complex Kernel Least Mean Square Algorithm.- Learning with Quaternions.- Information Theoretic Learning.- The Complex Kernel Affine Projection Algorithm.- Extending Complex Kernel Filters with Widely Linear Estimation.- Convergence Analysis of Complex Kernel LMS Algorithm.- The Quaternion Kernel LMS Algorithm.- The Quaternion Kernel Maximum Correntropy Algorithm.- Summary and Future Work.

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          Adaptive Filter Algorithms For Complex and Quaternion Data