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1.Hurst parameter is important to measure the self-similarity degree and bustiness of network traffic. Based on R? S statistic, variance-time plots and periodogram-based analysis methods, an optimal linear regression wavelet model is proposed to perform the accurate, quick and effective estimation of the Hurst parameter in wavelet field.
Hurst参数是衡量网络流量自相似程度和突发性的重要参数,在时域R/S统计、方差-时间图法和频域周期图法的基础上,提出一种最优化线性回归小波模型,实现小波域内Hurst参数的准确有效快速辨识.收藏指正
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