Estimation of statistical properties of rough surface profiles from the Hurst exponent of speckle patterns
Citations Over Time
Abstract
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.
Related Papers
- → On Hurst exponent estimation under heavy-tailed distributions(2010)266 cited
- → Time-varying Hurst exponent for US stock markets(2008)213 cited
- → Stock Indices for Emerging Markets(2010)10 cited
- → On Hurst exponent estimation under heavy-tailed distributions(2012)1 cited
- The Construction and Empirical Testing of the Time-varying Hurst Exponent by the Rescale Range Analysis(2011)