| Autor: |
T. Ambrizzi, N. Bittencourt, L.M.V.G. Pinto, J. Szczupak, E. Molina, L.H. Macedo |
| Rok vydání: |
2007 |
| Předmět: |
|
| Zdroj: |
2007 International Symposium on Signals, Circuits and Systems. |
| DOI: |
10.1109/isscs.2007.4292707 |
| Popis: |
This paper proposes a new approach to detect, model and analyze climatological signals solely based on the largest eigenvalue of a signal derived matrix, used as a measure of innovation. The resulting process offers a substantial reduction in computational complexity with respect to presently applied methods. Furthermore, the approach yields much precise and detailed result. A case study illustrates the application of the proposed approach to the identification and analysis of a Nino event, tracing the interactions between different regions in the planet and pointing out perturbation paths otherwise unknown, allowing the prediction of the phenomena months before the climatological development. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
|
