Statistical Signal Processing in Engineering takes a pragmatic approach in solving common problems encountered by engineers and technicians when processing signals. Drawing from decades of theoretical and practical experience, author Umberto Spagnolini provides a quick-solution manual for field applications, offering tested methods to address the challenges faced by practitioners. The book delineates the basic concepts and applied mathematics underlying each solution, enabling readers to delve deeper into the theory and understand the limitations and potential pitfalls of these solutions. This approach ensures that engineers can tailor the best solution for specific engineering applications.

Uniquely, this text serves as an excellent textbook for engineering graduates and post-graduates. Dr. Spagnolini, with over a quarter-century of experience teaching graduate-level courses in digital and statistical signal processing methods, presents a detailed axiomatic framework that challenges students’ analytical skills and encourages the development of new applications or a deeper understanding of existing solutions.

Published by Wiley on December 13, 2017, with ISBN-13: 978-1119293996, this book is an invaluable resource for both experienced professionals and academic students seeking to enhance their knowledge in statistical signal processing.