The Experts below are selected from a list of 12168 Experts worldwide ranked by ideXlab platform
Anna Maria Palazzo - One of the best experts on this subject based on the ideXlab platform.
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fast and unbiased estimator of the time dependent Hurst Exponent
Chaos, 2018Co-Authors: Augusto Pianese, Sergio Bianchi, Anna Maria PalazzoAbstract:We combine two existing estimators of the local Hurst Exponent to improve both the goodness of fit and the computational speed of the algorithm. An application with simulated time series is implemented, and a Monte Carlo simulation is performed to provide evidence of the improvement.We combine two existing estimators of the local Hurst Exponent to improve both the goodness of fit and the computational speed of the algorithm. An application with simulated time series is implemented, and a Monte Carlo simulation is performed to provide evidence of the improvement.
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fast and unbiased estimator of the time dependent Hurst Exponent
Chaos, 2018Co-Authors: Augusto Pianese, Sergio Bianchi, Anna Maria PalazzoAbstract:We combine two existing estimators of the local Hurst Exponent to improve both the goodness of fit and the computational speed of the algorithm. An application with simulated time series is implemented, and a Monte Carlo simulation is performed to provide evidence of the improvement.
Sergio Bianchi - One of the best experts on this subject based on the ideXlab platform.
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fast and unbiased estimator of the time dependent Hurst Exponent
Chaos, 2018Co-Authors: Augusto Pianese, Sergio Bianchi, Anna Maria PalazzoAbstract:We combine two existing estimators of the local Hurst Exponent to improve both the goodness of fit and the computational speed of the algorithm. An application with simulated time series is implemented, and a Monte Carlo simulation is performed to provide evidence of the improvement.We combine two existing estimators of the local Hurst Exponent to improve both the goodness of fit and the computational speed of the algorithm. An application with simulated time series is implemented, and a Monte Carlo simulation is performed to provide evidence of the improvement.
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fast and unbiased estimator of the time dependent Hurst Exponent
Chaos, 2018Co-Authors: Augusto Pianese, Sergio Bianchi, Anna Maria PalazzoAbstract:We combine two existing estimators of the local Hurst Exponent to improve both the goodness of fit and the computational speed of the algorithm. An application with simulated time series is implemented, and a Monte Carlo simulation is performed to provide evidence of the improvement.
José Augusto Oliveira Huguenin - One of the best experts on this subject based on the ideXlab platform.
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Estimation of statistical properties of rough surface profiles from the Hurst Exponent of speckle patterns.
Applied optics, 2020Co-Authors: A. L. P. Camargo, L. Da Silva, Mariana Dias, M. R. Lemos, Magda Medianeira De Mello, P. A. M. Dos Santos, José Augusto Oliveira HugueninAbstract:We applied the Hurst Exponent technique to an experimental study of rough metallic surface profiles and the speckle patterns generated by them. Characterization of important statistical properties of the surface profile and speckle patterns were performed. We observed a clear correlation between the Hurst Exponent of a surface profile and the one calculated from the associated speckle patterns. Therefore, in principle, information of the Hurst Exponent of the profile can be obtained from the Hurst Exponent of speckle patterns. Range and sampling analyses were performed in the Hurst Exponent calculations showing the robustness of the method. As an additional application, we performed a basic simulation to show that the Hurst Exponent is sensitive to surface waviness.
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Hurst Exponent analysis of moving metallic surfaces
Physica A: Statistical Mechanics and its Applications, 2013Co-Authors: H. C. Soares, L. Da Silva, D.c. Lobão, D. P. Caetano, José Augusto Oliveira HugueninAbstract:Abstract We report on the application of Hurst Exponent analysis to digital speckle patterns for investigating moving rough surfaces in the presence of defects. Digital speckle patterns were generated by recording the scattered light from moving surfaces illuminated by a laser beam. It was found that it is possible to identify the presence of the defects by means of the variation of the Hurst Exponent along the sample.
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Hurst Exponent determination for digital speckle patterns in roughness control of metallic surfaces
Optics and Lasers in Engineering, 2011Co-Authors: A L Sampaio, L. Da Silva, D.c. Lobão, L C S Nunes, P Dos A M Santos, José Augusto Oliveira HugueninAbstract:In this paper, we present a study of metallic surface roughness using the Hurst Exponent calculated from speckle pattern. A set of samples was prepared using polishing techniques and the roughness was directly measured by means of an optical profilometer. To study the H Exponent, an experiment was performed by illuminating the samples using an expanded laser beam and the surface image was captured by a CCD camera. We applied techniques of the Hurst Exponent calculation, traditionally calculated from surface profile, in the digitalized speckle patterns generated by the rough surfaces. We showed a clear dependence of the H Exponent on roughness of the samples. We demonstrated that this tool is very sensitive to defects in the surfaces and can be used for roughness control.
Augusto Pianese - One of the best experts on this subject based on the ideXlab platform.
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fast and unbiased estimator of the time dependent Hurst Exponent
Chaos, 2018Co-Authors: Augusto Pianese, Sergio Bianchi, Anna Maria PalazzoAbstract:We combine two existing estimators of the local Hurst Exponent to improve both the goodness of fit and the computational speed of the algorithm. An application with simulated time series is implemented, and a Monte Carlo simulation is performed to provide evidence of the improvement.We combine two existing estimators of the local Hurst Exponent to improve both the goodness of fit and the computational speed of the algorithm. An application with simulated time series is implemented, and a Monte Carlo simulation is performed to provide evidence of the improvement.
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fast and unbiased estimator of the time dependent Hurst Exponent
Chaos, 2018Co-Authors: Augusto Pianese, Sergio Bianchi, Anna Maria PalazzoAbstract:We combine two existing estimators of the local Hurst Exponent to improve both the goodness of fit and the computational speed of the algorithm. An application with simulated time series is implemented, and a Monte Carlo simulation is performed to provide evidence of the improvement.
A L Sampaio - One of the best experts on this subject based on the ideXlab platform.
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Hurst Exponent determination for digital speckle patterns in roughness control of metallic surfaces
Optics and Lasers in Engineering, 2011Co-Authors: A L Sampaio, L. Da Silva, D.c. Lobão, L C S Nunes, P Dos A M Santos, José Augusto Oliveira HugueninAbstract:In this paper, we present a study of metallic surface roughness using the Hurst Exponent calculated from speckle pattern. A set of samples was prepared using polishing techniques and the roughness was directly measured by means of an optical profilometer. To study the H Exponent, an experiment was performed by illuminating the samples using an expanded laser beam and the surface image was captured by a CCD camera. We applied techniques of the Hurst Exponent calculation, traditionally calculated from surface profile, in the digitalized speckle patterns generated by the rough surfaces. We showed a clear dependence of the H Exponent on roughness of the samples. We demonstrated that this tool is very sensitive to defects in the surfaces and can be used for roughness control.