3D fractal Hurst exponential estimation for acoustic wave

Julio Cesar Tovar Rodriguez, Ricardo Carreno Aguilera, Miguel Patino Ortiz, Julian Patino Ortiz, Alexander Balankin

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

This paper presents an estimation for Hurst exponent based on its stochastic and fractal properties. The basic description was considered with respect to fractal description. The estimation technique is a functional, in where the form depends of the whole time series piezoelectric storage. The recursive properties that the Hurst estimation, and the two first probability moments have applicability in systems with memory and time operations restrictions, requiring in each operation to have only one state delayed. Therefore, the data storage has the enough information for the two first moments and the Hurst functional estimation have successfully. The data storage is included in the computational system using Benoit 1.3 software® and conserving the history time sequence, describes the curves that bounded the system, having in natural manner a fractal description without loss its properties.

Idioma originalInglés
Título de la publicación alojadaICNSC 2016 - 13th IEEE International Conference on Networking, Sensing and Control
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9781467399753
DOI
EstadoPublicada - 25 may. 2016
Evento13th IEEE International Conference on Networking, Sensing and Control, ICNSC 2016 - Mexico City, México
Duración: 28 abr. 201630 abr. 2016

Serie de la publicación

NombreICNSC 2016 - 13th IEEE International Conference on Networking, Sensing and Control

Conferencia

Conferencia13th IEEE International Conference on Networking, Sensing and Control, ICNSC 2016
País/TerritorioMéxico
CiudadMexico City
Período28/04/1630/04/16

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