Track-Before-Detect Using Expectation Maximization: The Histogram Probabilistic Multi-hypothesis Tracker: Theory and Applications - Rilegato

Libro 133 di 175: Signals and Communication Technology

Davey, Samuel J.; Gaetjens, Han X.

 
9789811075926: Track-Before-Detect Using Expectation Maximization: The Histogram Probabilistic Multi-hypothesis Tracker: Theory and Applications
Rilegato
ISBN 10: 9811075921 ISBN 13: 9789811075926
Casa editrice: Springer Nature, 2018

Sinossi

This book offers a detailed description of the histogram probabilistic multi-hypothesis tracker (H-PMHT), providing an accessible and intuitive introduction to the mathematical mechanics of H-PMHT as well as a definitive reference source for the existing literature on the method. Beginning with basic concepts, the authors then move on to address extensions of the method to a broad class of tracking problems. The latter chapters present applications using recorded data from experimental radar, sonar and video sensor systems. The book is supplemented with software that both furthers readers’ understanding and acts as a toolkit for those who wish to apply the methods to their own problems.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Informazioni sull?autore

Samuel Davey studied engineering and mathematics at the University of Adelaide, culminating with a Ph.D. in signal processing in 2003. He has worked for the Defence Science and Technology Group, Australia, since 1995 in the areas of target tracking, tracker performance assessment, and multi-sensor

fusion; he is currently Group Leader, Geophysical Phenomenology and Performance Assessment. He is also a Visiting Research Fellow at the University of Adelaide, a senior member of the IEEE, and an associate editor of IEEE Signal Processing Letters. He is a co-author of the book Bayesian Methods in the Search for MH370. He received the 2011 JP LeCadre award for the best paper at the International Conference on Information Fusion and the 2012 DST Science and Engineering Excellence award for work on H-PMHT that led to this book.

Han Gaetjens received an Honours degree in Mathematics from the University of South Australia in 2007 and the Ph.D. from the University of Adelaide in 2015. She has worked for the Defence Science and Technology Group, Australia, since 2007.

Dalla quarta di copertina

This book offers a detailed description of the histogram probabilistic multi-hypothesis tracker (H-PMHT), providing an accessible and intuitive introduction to the mathematical mechanics of H-PMHT as well as a definitive reference source for the existing literature on the method. Beginning with basic concepts, the authors then move on to address extensions of the method to a broad class of tracking problems. The latter chapters present applications using recorded data from experimental radar, sonar and video sensor systems. The book is supplemented with software that both furthers readers understanding and acts as a toolkit for those who wish to apply the methods to their own problems.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
Springer Nature
Data di pubblicazione
2018
Lingua
Inglese
ISBN 10 
9811075921
ISBN 13 
9789811075926
Rilegatura
Copertina rigida
Numero edizione
1
Numero di pagine
352
Contatto del produttore
non disponibile
Persona responsabile
CMN Printpool Inh. Mathis Neumann
https://www.also.com/ec/cms5/en_6000/6000/index.jsp

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Hamburg
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Altre edizioni note dello stesso titolo

9789811339714: Track-Before-Detect Using Expectation Maximisation: The Histogram Probabilistic Multi-hypothesis Tracker: Theory and Applications

Edizione in evidenza

ISBN 10:  9811339716 ISBN 13:  9789811339714
Casa editrice: Springer, 2018
Brossura