Statistical Signal Processing in Engineering (Hardcover)

Umberto Spagnolini



A problem-solving approach to statistical signal processing for practicing engineers, technicians, and graduate students 

This book takes a pragmatic approach in solving a set of common problems engineers and technicians encounter when processing signals. In writing it, the author drew on his vast theoretical and practical experience in the field to provide a quick-solution manual for technicians and engineers, offering field-tested solutions to most problems engineers can encounter. At the same time, the book delineates the basic concepts and applied mathematics underlying each solution so that readers can go deeper into the theory to gain a better idea of the solution’s limitations and potential pitfalls, and thus tailor the best solution for the specific engineering application. 

Uniquely, Statistical Signal Processing in Engineering can also function as a textbook for engineering graduates and post-graduates. Dr. Spagnolini, who has had a quarter of a century of experience teaching graduate-level courses in digital and statistical signal processing methods, provides a detailed axiomatic presentation of the conceptual and mathematical foundations of statistical signal processing that will challenge students’ analytical skills and motivate them to develop new applications on their own, or better understand the motivation underlining the existing solutions.  

Throughout the book, some real-world examples demonstrate how powerful a tool statistical signal processing is in practice across a wide range of applications.

  • Takes an interdisciplinary approach, integrating basic concepts and tools for statistical signal processing
  • Informed by its author’s vast experience as both a practitioner and teacher
  • Offers a hands-on approach to solving problems in statistical signal processing
  • Covers a broad range of applications, including communication systems, machine learning, wavefield and array processing, remote sensing, image filtering and distributed computations
  • Features numerous real-world examples from a wide range of applications showing the mathematical concepts involved in practice
  • Includes MATLAB code of many of the experiments in the book

Statistical Signal Processing in Engineering is an indispensable working resource for electrical engineers, especially those working in the information and communication technology (ICT) industry. It is also an ideal text for engineering students at large, applied mathematics post-graduates and advanced undergraduates in electrical engineering, applied statistics, and pure mathematics, studying statistical signal processing.






- 採用跨學科的方法,整合統計信號處理的基本概念和工具
- 作者作為實踐者和教師的豐富經驗為基礎
- 提供了解決統計信號處理問題的實踐方法
- 涵蓋了廣泛的應用領域,包括通信系統、機器學習、波場和陣列處理、遙感、圖像濾波和分布式計算
- 提供了許多實際應用的數學概念示例
- 包含了書中許多實驗的MATLAB代碼