Title :
A Novel Parameter Estimation Method of Alpha-stable Distribution Based on Extreme Value
Author :
Li, Li ; Yu, Li ; Zhu, Guangxi ; Pei, Xuebing
Author_Institution :
Huazhong Univ. of Sci. & Technol., Wuhan
Abstract :
Since Alpha-stable distribution was introduced as a generalization of Gaussian distribution, it has been applied to model and to analyze signals with high variability. After analyzing characteristic of PDF of Alpha-stable distribution, we propose a novel parameter estimation method of Alpha-stable distribution, based on asymptotic Pareto characteristic and asymmetry of its tails. Simulation and analysis results prove that this method could achieve much more accuracy and stability compared with other estimation methods.
Keywords :
Gaussian distribution; Pareto distribution; parameter estimation; signal processing; Gaussian distribution; alpha-stable distribution; asymptotic Pareto characteristic; parameter estimation method; signal analysis; Analytical models; Gaussian distribution; Information analysis; Maximum likelihood estimation; Parameter estimation; Pareto analysis; Probability distribution; Signal analysis; Signal processing; Stability analysis; Alpha-stable distribution; asymmetric tails; asymptotic Pareto characteristic; parameter estimation;
Conference_Titel :
Communications and Networking in China, 2007. CHINACOM '07. Second International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-1009-5
Electronic_ISBN :
978-1-4244-1009-5
DOI :
10.1109/CHINACOM.2007.4469467