Overview
- Offers an overview of non-homogeneous Poisson point processes
- Covers applications ranging from emissions tomography to multi-target tracking
- Discusses topics wihich competitive texts lack, such as intensity estimation techniques and finite random sets
- Includes supplementary material: sn.pub/extras
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Table of contents (9 chapters)
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Fundamentals
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Fundamentals
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Applications to Imaging, Tracking, and Distributed Sensing
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Beyond the Poisson Point Process
Keywords
About this book
Authors and Affiliations
Bibliographic Information
Book Title: Poisson Point Processes
Book Subtitle: Imaging, Tracking, and Sensing
Authors: Roy L. Streit
DOI: https://doi.org/10.1007/978-1-4419-6923-1
Publisher: Springer New York, NY
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Science + Business Media 2010
Hardcover ISBN: 978-1-4419-6922-4Published: 23 September 2010
Softcover ISBN: 978-1-4899-9449-3Published: 07 October 2014
eBook ISBN: 978-1-4419-6923-1Published: 15 September 2010
Edition Number: 1
Number of Pages: XIII, 273
Topics: Signal, Image and Speech Processing, Probability Theory and Stochastic Processes, Probability and Statistics in Computer Science