Get Free Shipping on orders over $79
Track-Before-Detect Using Expectation Maximisation : The Histogram Probabilistic Multi-hypothesis Tracker: Theory and Applications - Samuel J. Davey

Track-Before-Detect Using Expectation Maximisation

The Histogram Probabilistic Multi-hypothesis Tracker: Theory and Applications

By: Samuel J. Davey, Han X. Gaetjens

eText | 8 February 2018

At a Glance

eText


$169.00

or 4 interest-free payments of $42.25 with

 or 

Instant online reading in your Booktopia eTextbook Library *

Why choose an eTextbook?

Instant Access *

Purchase and read your book immediately

Read Aloud

Listen and follow along as Bookshelf reads to you

Study Tools

Built-in study tools like highlights and more

* eTextbooks are not downloadable to your eReader or an app and can be accessed via web browsers only. You must be connected to the internet and have no technical issues with your device or browser that could prevent the eTextbook from operating.

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.

on
Desktop
Tablet
Mobile

More in Computer Science

Amazon.com : Get Big Fast - Robert Spector

eBOOK

This is For Everyone - Tim Berners-Lee

eBOOK

ReFormat : Windows 11 - Adam Natad

eBOOK