| 书目名称 | Efficient Nonlinear Adaptive Filters | | 副标题 | Design, Analysis and | | 编辑 | Haiquan Zhao,Badong Chen | | 视频video | | | 概述 | 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 | | 图书封面 |  | | 描述 | 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. | | 出版日期 | Book 2023 | | 关键词 | Nonlinear adaptive filter; Volterra filter; Kernel filter; Spline filter; Affine Project Algorithm; Subba | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-20818-8 | | isbn_softcover | 978-3-031-20820-1 | | isbn_ebook | 978-3-031-20818-8 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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发表于 2025-3-21 17:08:40
