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 Jan 2023 16:17 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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