Testing α-stable processes in capturing the queuing behavior of broadband teletraffic
Signal Processing - Signal processing with heavy-tailed models
Performance Evaluation - Long range dependence and heavy tail distributions
Skewed log-stable model for natural images pixel block-variance
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
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A new technique is presented for the characterization of impulsive interference with /spl alpha/-stable processes. The proposed model is constructed by estimating the /spl alpha/-stable distribution parameters using the empirical characteristic function. Characteristic function based methods have been shown to yield the best performance but are plagued by the amount of computation required. The new parameter estimation algorithm is shown to achieve the same level of performance as other characteristic function based methods while greatly reducing the amount of computation required.