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Efficient nonlinear adaptive filtersdesign, analysis and applications /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Efficient nonlinear adaptive filtersby Haiquan Zhao, Badong Chen.
Reminder of title:	design, analysis and applications /
Author:	Zhao, Haiquan.
other author:	Chen, Badong.
Published:	Cham :Springer International Publishing :2023.
Description:	xvii, 260 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Adaptive signal processing.
Online resource:	https://doi.org/10.1007/978-3-031-20818-8
ISBN:	9783031208188$q(electronic bk.)

Efficient nonlinear adaptive filtersdesign, analysis and applications /
Zhao, Haiquan.

Efficient nonlinear adaptive filtersdesign, analysis and applications /[electronic resource] :by Haiquan Zhao, Badong Chen. - Cham :Springer International Publishing :2023. - xvii, 260 p. :ill., digital ;24 cm.

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 written to 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.

ISBN: 9783031208188$q(electronic bk.)

Standard No.: 10.1007/978-3-031-20818-8doiSubjects--Topical Terms:

184676
Adaptive signal processing.

LC Class. No.: TK5102.9 / .Z43 2023

Dewey Class. No.: 621.3822

Efficient nonlinear adaptive filtersdesign, analysis and applications /
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505 0 $a Adaptive filter -- Volterra adaptive filter -- FLANN adaptive filter -- Spline adaptive filter -- Kernel adaptive filters.
520 $a 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 written to 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.
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