Thomas K. Paul Tokunbo Ogunfunmi Paul Adaptive Filter Algorithms For Complex and Quaternion Data

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.

 

 


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

Themen in »Adaptive Filter Algorithms For Complex and Quaternion Data«

Adaptive Filtering Adaptive Filtering for Nonlinear Systems Adaptive Filtering for Quaternionic Data Complex Data for Adaptive Filters Kernel Adaptive Filtering Linear and Kernel Filter Theory

Stimmen zu »Adaptive Filter Algorithms For Complex and Quaternion Data«

Details

ISBN: 9783032237972
Verlag: Springer International Publishing
Erscheinung: 19.08.2026

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