Data fusion for modern engineering applications: an overview

Authors:
Danilo P. Mandic;Dragan Obradovic;Anthony Kuh;Tülay Adali;Udo Trutschel;Martin Golz;Philippe De Wilde;Javier Barria;Anthony Constantinides;Jonathon Chambers
Affiliations:
Imperial College London, UK;Siemens AG, Munich, Germany;University of Hawaii;UMBC;Circadian Technologies;University of Schmalkalden Germany;Imperial College London, UK;Imperial College London, UK;Imperial College London, UK;Cardiff University, UK
Venue:
ICANN'05 Proceedings of the 15th international conference on Artificial neural networks: formal models and their applications - Volume Part II
Year:
2005

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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.