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.
An erratum to this chapter can be found at http://dx.doi.org/10.1007/11550907_163 .
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Mandic, D.P. et al. (2005). Data Fusion for Modern Engineering Applications: An Overview. In: Duch, W., Kacprzyk, J., Oja, E., Zadrożny, S. (eds) Artificial Neural Networks: Formal Models and Their Applications – ICANN 2005. ICANN 2005. Lecture Notes in Computer Science, vol 3697. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11550907_114
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DOI: https://doi.org/10.1007/11550907_114
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