Kalman Filtering: with Real-Time Applications

Upgrade your knowledge of Kalman Filtering with Real-Time Applications and stay ahead in today's competitive landscape. This newly updated edition delves into the mathematical theory and computational schemes of Kalman filtering, ensuring you have a strong foundation in this essential topic. Whether you're a seasoned professional or a novice, this book is designed to be accessible to readers of all levels, requiring only a minimum knowledge of linear algebra, probability theory, and system engineering.

With a comprehensive discussion of filtering algorithms derived through different approaches, including direct and indirect methods, you'll gain a deep understanding of how Kalman filtering works. The book covers various topics, such as Kalman filtering for systems with correlated or colored noise, extended Kalman filtering for nonlinear systems, interval Kalman filtering for uncertain systems, and even wavelet Kalman filtering for multiresolution analysis of random signals.

What sets this book apart is its real-world application focus. Most filtering algorithms are illustrated using simplified radar tracking examples, giving you practical insights into how Kalman filtering can be implemented. Additionally, the book includes a new chapter on filtering communication networks and data processing, ensuring you stay up to date with the latest advancements in the field.

Whether you're studying on your own or looking to enhance your professional skills, this self-contained book is the perfect companion. With over 100 exercises and problems, as well as solutions provided, you'll have ample opportunities to deepen your knowledge and test your understanding. Don't miss out on this valuable resource that will empower you to excel in Kalman filtering and real-time applications.

Take your skills to the next level with Kalman Filtering: with Real-Time Applications. Order your copy today and unlock the potential of this indispensable tool.