Adaptive Filter Principles (Fourth Edition) (Original English Version)

Author: Simon Haykin
Publisher:
Publish Date: 2002-07-01
Features: Adaptive filters are an important component of modern signal processing. This book consists of 17 chapters, systematically and comprehensively elaborating on the mathematical foundations, basic structures, and fundamental algorithms of adaptive filters, ranging from Wiener filtering and Kalman filtering to modern blind adaptive techniques and neural network methods. It fully reflects the new theories, technologies, and applications in this field in recent years, integrating fundamental theories, application technologies, and implementation methods. The content is rich, concepts are clear, the material is novel, the explanations are lucid, the system is well-structured, and the readability is strong. The book is accompanied by numerous distinctive examples, exercises, and computer experiment results, illustrated with graphics and presented in an accessible manner. These features not only facilitate readers' mastery and understanding of the relevant content but also inspire deeper thinking, cultivating innovative abilities in analyzing and solving problems. This book can serve as a textbook or reference for senior undergraduate and graduate students in communication and electronic information engineering. It also provides valuable insights for teachers and researchers engaged in adaptive signal processing and related disciplines.