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Kalman Filtering with Real-Time Applications
Overview of attention for book
Table of Contents
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Book Overview
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Chapter 1
Preliminaries
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Chapter 2
Kalman Filter: An Elementary Approach
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Chapter 3
Orthogonal Projection and Kalman Filter
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Chapter 4
Correlated System and Measurement Noise Processes
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Chapter 5
Colored Noise
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Chapter 6
Limiting Kalman Filter
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Chapter 7
Sequential and Square-Root Algorithms
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Chapter 8
Extended Kalman Filter and System Identification
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Chapter 9
Decoupling of Filtering Equations
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Chapter 10
Notes
Overall attention for this book and its chapters
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Mentioned by
syllabi
2
institutions with syllabi
wikipedia
2
Wikipedia pages
Citations
dimensions_citation
274
Dimensions
Readers on
mendeley
9
Mendeley
Book overview
1. Preliminaries
2. Kalman Filter: An Elementary Approach
3. Orthogonal Projection and Kalman Filter
4. Correlated System and Measurement Noise Processes
5. Colored Noise
6. Limiting Kalman Filter
7. Sequential and Square-Root Algorithms
8. Extended Kalman Filter and System Identification
9. Decoupling of Filtering Equations
10. Notes
Summary
Syllabi
Wikipedia
Dimensions citations
This data is correct as of December 2015 - for more up to date information, please visit
https://opensyllabus.org/
So far, Altmetric has seen this research output assigned in
3
syllabi from
2
institutions on Open Syllabus Project.
Institution
Syllabi count
Course subject areas covered
Cornell University
2
Unknown
Université Catholique de Louvain
1
Unknown