Estimation of nonlinearities from pseudodynamic and dynamic responses of bridge structures using the Delay Vector Variance method
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DOI: 10.1016/j.physa.2015.08.026
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- Su, Zhi-Yuan & Wu, Tzuyin & Yang, Po-Hua & Wang, Yeng-Tseng, 2008. "Dynamic analysis of heartbeat rate signals of epileptics using multidimensional phase space reconstruction approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(10), pages 2293-2305.
- Peter Martey Addo & Monica Billio & Dominique Guegan, 2013.
"Understanding Exchange Rates Dynamics,"
Documents de travail du Centre d'Economie de la Sorbonne
13023, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
- Peter Martey Addo & Monica Billio & Dominique Guegan, 2013. "Understanding Exchange Rates Dynamics," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00803447, HAL.
- Peter Martey Addo & Monica Billio & Dominique Guegan, 2013. "Understanding Exchange Rates Dynamics," Post-Print halshs-00803447, HAL.
- Di Matteo, T. & Aste, T. & Dacorogna, M.M., 2003. "Scaling behaviors in differently developed markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 324(1), pages 183-188.
- Matteo, T. Di & Aste, T. & Dacorogna, Michel M., 2005.
"Long-term memories of developed and emerging markets: Using the scaling analysis to characterize their stage of development,"
Journal of Banking & Finance, Elsevier, vol. 29(4), pages 827-851, April.
- T. Di Matteo & T. Aste & M. M. Dacorogna, 2004. "Long term memories of developed and emerging markets: using the scaling analysis to characterize their stage of development," Papers cond-mat/0403681, arXiv.org.
- T. Di Matteo & T. Aste & Michel M. Dacorogna, 2005. "Long-term memories of developed and emerging markets: Using the scaling analysis to characterize their stage of development," Econometrics 0503004, University Library of Munich, Germany.
- Bian, Chunhua & Ning, Xinbao, 2004. "Evaluating age-related loss of nonlinearity degree in short-term heartbeat series by optimum modeling dimension," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 337(1), pages 149-156.
- Tsonis, Anastasios A & Heller, Fred L & Tsonis, Panagiotis A, 2002. "Probing the linearity and nonlinearity in DNA sequences," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 312(3), pages 458-468.
- Pakrashi, Vikram & Kelly, Joe & Harkin, Julie & Farrell, Aidan, 2013. "Hurst exponent footprints from activities on a large structural system," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(8), pages 1803-1817.
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Keywords
Delay Vector Variance (DVV); Signal nonlinearity; System identification; Instrumentation; Condition monitoring; Bridge;All these keywords.
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