Overview
- Presents a hands-on engineering approach to filtering algorithms and their implementation
- Covers a new generation of particle filters, which are applicable to a much wider class of signal processing applications
- Includes sensor control for particle filters
- Provides information on a number of interesting and relevant applications, which illustrate theoretical concepts and demonstrate the performance of developed particle filters
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (7 chapters)
Keywords
About this book
Reviews
From the book reviews:
“The book realizes a happy union between theory and practice. Of high interest are the Algorithms for which their pseudo-codes are presented. We think we are faced with an excellent book that will have a great success and audience between those interested for new approaches in filtering theory.” (Dumitru Stanomir, zbMATH 1306.93002, 2015)
Authors and Affiliations
About the author
Branko Ristic is at the Defence Science and Technology Organisation, Australia
Defence Science and Technology Organisation, AustraliaBibliographic Information
Book Title: Particle Filters for Random Set Models
Authors: Branko Ristic
DOI: https://doi.org/10.1007/978-1-4614-6316-0
Publisher: Springer New York, NY
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Science+Business Media New York 2013
Hardcover ISBN: 978-1-4614-6315-3
Softcover ISBN: 978-1-4899-8884-3
eBook ISBN: 978-1-4614-6316-0
Edition Number: 1
Number of Pages: XIV, 174
Topics: Signal, Image and Speech Processing, Information and Communication, Circuits, Probability and Statistics in Computer Science, Artificial Intelligence, Computational Intelligence