Efficient Nonlinear Adaptive Filters - Design, Analysis and Applications (Hardcover, 1st ed. 2023)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Release date:	February 2023
First published:	2023
Authors:	Haiquan Zhao • Badong Chen
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	260
Edition:	1st ed. 2023
ISBN-13:	978-3-03-120817-1
Categories:	Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Circuits & components Books > Professional & Technical > Electronics & communications engineering > Communications engineering / telecommunications > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General
LSN:	3-03-120817-X
Barcode:	9783031208171

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