Another Important Parameter’s Research on Estimating Self-Similarity ()
ABSTRACT
It is convincingly demonstrated by numerous
studies that the self-similarity of modern multimedia network traffic is
presented by Hurst parameter (H). The specific performance is that the similar
degree is higher along with the increase of H when H is between 0.5 and 1.
However, it is doubtable that whether the complicated process of
self-similarity can be described comprehensively by the parameter H only.
Therefore, another important parameter cf has been proposed based on the
discrete wavelet decomposition in this paper. The significance of the
parameters is provided and the performance of the self-similarity process is
described better.
Share and Cite:
Luo, P. and Wang, J. (2016) Another Important Parameter’s Research on Estimating Self-Similarity.
International Journal of Communications, Network and System Sciences,
9, 338-345. doi:
10.4236/ijcns.2016.98030.
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