| 書目名稱 | Introduction to Random Signals, Estimation Theory, and Kalman Filtering | | 編輯 | M. Sami Fadali | | 視頻video | http://file.papertrans.cn/475/474118/474118.mp4 | | 概述 | Bridges between the typical undergraduate engineering education and more advanced graduate-level courses.Includes examples and exercises to demonstrate the theory that makes extensive use of MATLAB.Pr | | 圖書封面 |  | | 描述 | .This book provides first-year graduate engineering students and practicing engineers with a solid introduction to random signals and estimation. It includes a statistical background that is often omitted in other textbooks but is essential for a clear understanding of estimators and their properties. The book emphasizes applicability rather than mathematical theory. It includes many examples and exercises to demonstrate and learn the theory that makes extensive use of MATLAB and its toolboxes. Although there are several excellent books on random signals and Kalman filtering, this book fulfills the need for a book that is suitable for a single-semester course that covers both random signals and Kalman filters and is used for a two-semester course for students that need remedial background. For students interested in more advanced studies in the area, the book provides a bridge between typical undergraduate engineering education and more advanced graduate-level courses.. | | 出版日期 | Textbook 2024 | | 關(guān)鍵詞 | random signals; Kalman filter; stochastic processes; state estimation; Text book; Estimation and Estimato | | 版次 | 1 | | doi | https://doi.org/10.1007/978-981-99-8063-5 | | isbn_softcover | 978-981-99-8065-9 | | isbn_ebook | 978-981-99-8063-5 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor |
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