Efficient Nonlinear Adaptive Filters: Design, Analysis and Applications

This book discusses the design, analysis, and application of nonlinear adaptive filters to improve efficient performance in diverse fields. It presents an efficient nonlinear filter model and robust adaptive filtering algorithm based on the local cost function of optimal criterion, overcoming non-Gaussian noise interference. It is written for scientists and engineers who want to learn about current research and applications in nonlinear filtering.

Format: Hardback
Length: 260 pages
Publication date: 11 February 2023
Publisher: Springer International Publishing AG

This comprehensive book delves into the design, analysis, and practical applications of nonlinear adaptive filters, with the primary objective of enhancing their efficient performance. The authors introduce a nonlinear adaptive filter, which holds significant importance in nonlinear systems and digital signal processing, and can be applied across a wide range of fields, including communications, control power systems, radar sonar, and more. Furthermore, they present an efficient nonlinear filter model and robust adaptive filtering algorithm based on the local cost function of the optimal criterion, enabling the mitigation of non-Gaussian noise interference. By showcasing these accomplishments, the book offers novel theories and methods for robust adaptive filtering of nonlinear and non-Gaussian systems. Authored for both scientists and engineers with a general interest in nonlinear filtering but without extensive expertise in the specific field, the book serves as a valuable resource for those seeking to gain insights into the current research and practical applications. Additionally, it can be used as a textbook for graduate/PhD courses in nonlinear system and adaptive signal processing.

Weight: 588g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031208171
Edition number: 1st ed. 2023