Wavelet entropy and fractional Brownian motion time series
نویسندگان
چکیده
We study the functional link between the Hurst parameter and the normalized total wavelet entropy when analyzing fractional Brownian motion (fBm) time series—these series are synthetically generated. Both quantifiers are mainly used to identify fractional Brownian motion processes [L. Zunino, D.G. Pérez, M. Garavaglia, O.A. Rosso, Characterization of laser propagation through turbulent media by quantifiers based on the wavelet transform, Fractals 12(2) (2004) 223–233]. The aim of this work is to understand the differences in the information obtained from them, if any. r 2005 Elsevier B.V. All rights reserved.
منابع مشابه
Characterization of the Laser Propagation Through Turbulent Media by Quantifiers Based on Wavelet Transform
1 The propagation of a laser beam through turbulent media is modeled as a fractional Brownian motion (fBm). Time series corresponding to the center position of the laser spot (coordinates x and y) after traveling across air in turbulent motion, with different strength, are analyzed by the wavelet theory. Two quantifiers are calculated, the Hurst exponent and the Normalized Total Wavelet Entropy...
متن کامل6 Wavelet entropy of stochastic processes
We compare two different definitions for the wavelet entropy associated to stochastic processes. In order to understand their advantages and disadvantages, exact results obtained for fractional Gaussian noise (−1 < α < 1) and the fractional Brownian motion (1 < α < 3) are assessed. We find out that NTWS family performs better as a characterization method for these stochastic processes.
متن کاملOn time-dependent neutral stochastic evolution equations with a fractional Brownian motion and infinite delays
In this paper, we consider a class of time-dependent neutral stochastic evolution equations with the infinite delay and a fractional Brownian motion in a Hilbert space. We establish the existence and uniqueness of mild solutions for these equations under non-Lipschitz conditions with Lipschitz conditions being considered as a special case. An example is provided to illustrate the theory
متن کاملn-Order and maximum fuzzy similarity entropy for discrimination of signals of different complexity: Application to fetal heart rate signals
This paper presents two new concepts for discrimination of signals of different complexity. The first focused initially on solving the problem of setting entropy descriptors by varying the pattern size instead of the tolerance. This led to the search for the optimal pattern size that maximized the similarity entropy. The second paradigm was based on the n-order similarity entropy that encompass...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2006