Description

Book Synopsis
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.

Table of Contents
1) ​Adaptive filter2) Volterra adaptive filter3) FLANN adaptive filter4) Spline adaptive filter5) Kernel adaptive filters

Efficient Nonlinear Adaptive Filters: Design, Analysis and Applications

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    A Hardback by Haiquan Zhao, Badong Chen

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      Book details

      Publisher Springer International Publishing AG
      Published 11 February 2023
      ISBN-13 9783031208171
      978-3031208171
      Also in:
      Digital signal processing (DSP) Imaging systems and technology

      Description

      Book Synopsis
      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.

      Table of Contents
      1) ​Adaptive filter2) Volterra adaptive filter3) FLANN adaptive filter4) Spline adaptive filter5) Kernel adaptive filters

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