Data fusion for modern engineering applications: An overview

Mandic, Danilo P., Obradovic, Dragan, Kuh, Anthony, Adali, Tulay, Trutschel, Udo, Golz, Martin, De Wilde, Philippe, Barria, Javier, Constantinides, Anthony, Chambers, Jonathon and others. (2005) Data fusion for modern engineering applications: An overview. In: Artificial Neural Networks: Formal Models and Their Applications – ICANN 2005. Lecture Notes in Computer Science , 1. pp. 715-721. Springer ISBN 978-3-540-28755-1. (doi:10.1007/11550907_114) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:58042)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL: https://doi.org/10.1007/11550907_114

Abstract

An overview of data fusion approaches is provided from the signal processing viewpoint. The general concept of data fusion is introduced, together with the related architectures, algorithms and performance aspects. Benefits of such an approach are highlighted and potential applications are identified. Case studies illustrate the merits of applying data fusion concepts in real world applications.

Item Type:	Conference or workshop item (Paper)
DOI/Identification number:	10.1007/11550907_114
Uncontrolled keywords:	Algorithms; Computer architecture; Process engineering; Signal processing, Data fusion, Data reduction
Subjects:	T Technology
Divisions:	Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User:	Philippe De Wilde
Date Deposited:	04 Jan 2023 08:36 UTC
Last Modified:	05 Nov 2024 10:49 UTC
Resource URI:	https://kar.kent.ac.uk/id/eprint/58042 (The current URI for this page, for reference purposes)

University of Kent Author Information

De Wilde, Philippe.

Creator's ORCID:	https://orcid.org/0000-0002-4332-1715
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