Track-Before-Detect Using Expectation Maximisation - The Histogram Probabilistic Multi-hypothesis Tracker: Theory and Applications (Hardcover, 1st ed. 2018)

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.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Series:	Signals and Communication Technology
Release date:	March 2018
First published:	2018
Authors:	Samuel J. Davey • Han X. Gaetjens
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	352
Edition:	1st ed. 2018
ISBN-13:	978-981-10-7592-6
Categories:	Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Books > Computing & IT > Applications of computing > Artificial intelligence > General Books > Computing & IT > Applications of computing > Image processing > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General
LSN:	981-10-7592-1
Barcode:	9789811075926

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