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portada Efficient Nonlinear Adaptive Filters
Type
Physical Book
Publisher
Author
Year
2023
Language
English
Pages
280
Format
Paperback
Dimensions
23.4x15.6 cm
ISBN13
9783031208195

Efficient Nonlinear Adaptive Filters

Badong Chen;Haiquan Zhao (Author) · Springer Nature B.V. · Paperback

Efficient Nonlinear Adaptive Filters - Badong Chen;Haiquan Zhao

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Synopsis "Efficient Nonlinear 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.

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