Preface

Adaptive filters are digital filters designed to change their coefficients as per operational conditions for advanced control purposes. They play an increasingly important role in industrial applications with functions such as adaptive control, noise cancellation, echo cancellation, channel equalization, image restoration, and seismic system identification.

This book captures current state-of-the-art technologies in signal processing, parameter estimation, advanced control, and big data applied to adaptive filtering. It is organized into three sections: "Fundamentals of Signal Processing and Adaptive Filters", "Kalman Filters and Analysis", and "Practical Implementations and Applications". Chapters within these sections explain the fundamentals, analyze phenomena and design considerations, and demonstrate cases and applications. It is a practical reference for academic researchers, postgraduate students, engineers, and practitioners in the field.

The editors wish to acknowledge all the chapter contributors and reviewers for their valuable inputs to the book. They are also thankful to Author Service Manager Miss Dolores Kuzelj at IntechOpen. Her remarks, encouragement, and conscientious attitude were key factors in making this book a reality.

> **Wenping Cao and Qian Zhang** Anhui University, Hefei, China

## Section 1
