This book presents the design, analysis, and application of nonlinear adaptive filters with the goal of improving efficient performance (ie the convergence speed, steady-state error, and computational complexity). The authors present a nonlinear adaptive filter, which is an important part of nonlinear system and digital signal processing and can be applied to diverse fields such as communications, control power system, radar sonar, etc. The authors also present an efficient nonlinear filter model and robust adaptive filtering algorithm based on the local cost function of optimal criterion to overcome non-Gaussian noise interference. The authors show how these achievements provide new theories and methods for robust adaptive filtering of nonlinear and non-Gaussian systems. The book is written for the scientist and engineer who are not necessarily an expert in the specific nonlinear filtering field but who want to learn about the current research and application. The book is also writtento accompany a graduate/PhD course in the area of nonlinear system and adaptive signal processing.
Les mer
This book presents the design, analysis, and application of nonlinear adaptive filters with the goal of improving efficient performance (ie the convergence speed, steady-state error, and computational complexity).
Les mer
Adaptive filter.- Volterra adaptive filter.- FLANN adaptive filter.- Spline adaptive filter.- Kernel adaptive filters.
This book presents the design, analysis, and application of nonlinear adaptive filters with the goal of improving efficient performance (ie the convergence speed, steady-state error, and computational complexity). The authors present a nonlinear adaptive filter, which is an important part of nonlinear system and digital signal processing and can be applied to diverse fields such as communications, control power system, radar sonar, etc. The authors also present an efficient nonlinear filter model and robust adaptive filtering algorithm based on the local cost function of optimal criterion to overcome non-Gaussian noise interference. The authors show how these achievements provide new theories and methods for robust adaptive filtering of nonlinear and non-Gaussian systems. The book is written for the scientist and engineer who are not necessarily an expert in the specific nonlinear filtering field but who want to learn about the current research and application. The book is also writtento accompany a graduate/PhD course in the area of nonlinear system and adaptive signal processing.Presents recent research results and applications of nonlinear adaptive filters in a variety of areas;Includes the basic models, algorithms, performance analysis and applications of various nonlinear filters in complex environments;Suitable for scientists and engineers who want to learn about nonlinear filtering in fields such as communications, control, power system, radar, etc.
Les mer
Presents recent research results and applications of nonlinear adaptive filters in a variety of areas Includes the basic models, algorithms, performance analysis and applications of various nonlinear filters Suitable for scientists and engineers who want to learn about nonlinear filtering
Les mer
Produktdetaljer
ISBN
9783031208171
Publisert
2023-02-11
Utgiver
Vendor
Springer International Publishing AG
Høyde
235 mm
Bredde
155 mm
Aldersnivå
Research, P, 06
Språk
Product language
Engelsk
Format
Product format
Innbundet