Empirical Mode Decomposition in Defence Data Analysis

Author:

Dobias Peter,Wanliss James A.

Publisher

Springer International Publishing

Reference18 articles.

1. Wiskott, L., Sejnowski, T.J.: Slow feature analysis: unsupervised learning of invariances. Neural Comput. 14(4), 715–770 (2002)

2. Gons, E., Schroden, J., McAlinden, R., Gaul, M., VanPoppel, B.: Challenges of measuring progress in Afghanistan using violence trends: the effects of aggregation, military operations, seasonality, weather, and other causal factors. Defence Secur. Anal. 28(2), 100–113 (2012)

3. Dobias, P., Horn, S., Liu, M.-J., Eisler, C., Sprague, K.: Use of fractal-based approaches in the assessment of the Canadian recognized maritime picture. In: Proceedings from 32nd International Symposium on Military Operational Research, London, UK (2015)

4. Dobias, P., Wanliss, J.A.: Empirical mode decomposition applied to Afghanistan violence data: comparison with multiplicative seasonal decomposition. J. Battlefield Technol. 17(2), 17–22 (2014)

5. Dobias, P., Eles, P., Schroden, J., Wanliss, J.: Quantitative analysis in support of military intelligence: predictive analysis and risk assessment in current security environment. In: Proceedings from the 28th ISMOR, Hampshire, UK (2011)

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