Research Lines: Nonlinear - HOS

Authored published scientific papers:

A. Carrion Garcia, T. Chanwimalueang, G. Giovanni Calvi, A. Hemakom, R. Miralles Ricos, and D.P. Mandic. Modelling economic stress through financial systemic balance index. International Conference on Digital Signal Processing, DSP, 0:565–569, 2016.
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A. Carrión and R. Miralles. New insights for testing linearity and complexity with surrogates: A recurrence plot approach. Springer Proceedings in Physics, 180:91–112, 2016.
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A. Carrion, R. Miralles, and G. Lara. Measuring Predictability in Ultrasonic Signals: An Application to Scattering Material Characterization. Ultrasonics, 54(7):1904–1911, 2014.
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R. Miralles, L. Vergara, A. Salazar, and J. Igual. Blind Detection of Nonlinearities in Multiple-echo Ultrasonic Signals. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 55,3:1–11, March 2008.
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R. Miralles, J. Gosálbez, and A. Salazar. Detection of Nonlinearities Caused by Bubbles in Ultrasonic Signals. In Proceedings of the EUSIPCO 2005, Antalya, Turkey, 2005.
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R. Miralles, L. Vergara, and J. Gosálbez. Material Grain Noise Analysis by Using Higher-Order Statistics. Signal Processing (Elsevier), 84(1):197–205, January 2004.
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R. Miralles and L. Vergara. Material Classification By HOS Analysis of Ultrasonic Signals. In European Signal Processing Conference, Vol. II, Tampere, Finland, September 2000.
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R. Miralles and L. Vergara. Ultrasonic Characterization of Scattering Media by Higher Order Spectra: A Cumulant Derivation. In Proceedings of the WHOS 99, June 1999.
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L. Vergara, R. Miralles, and P.M. Shankar. Feature Extraction from K-Distributed Noise by Higher-Order Spectral Analysis. In Proceedings of the WHOS 95, June 1995.
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