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" A COMPARISON OF CONVENTIONAL AND NEURAL NETWORK DATA ASSOCIATION TECHNIQUES FOR MULTI-TARGET TRACKINGPOMPES PAR TRANSITIONS MULTIPLES "


Document Type : Latin Dissertation
Language of Document : English
Record Number : 152766
Doc. No : ET24558
Main Entry : Thomas K. Robb
Title Proper : A COMPARISON OF CONVENTIONAL AND NEURAL NETWORK DATA ASSOCIATION TECHNIQUES FOR MULTI-TARGET TRACKINGPOMPES PAR TRANSITIONS MULTIPLES
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : In a typical multi-target tracking problem, the presence of random interferenceintroduces uncertainty into the origin of the measurements. A data association techniqueis then required to associate each measurement with the appropriate target or to discard.
Subject : Electericl tess
: برق
electronic file name : TL48766.pdf
Title and statement of responsibility and : A COMPARISON OF CONVENTIONAL AND NEURAL NETWORK DATA ASSOCIATION TECHNIQUES FOR MULTI-TARGET TRACKINGPOMPES PAR TRANSITIONS MULTIPLES [Thesis]
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TL48766.pdf
TL48766.pdf
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