![](/images/graphics-bg.png)
Smoothing the Sample Autocorrelation of Long-Range-Dependent Traffic
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-06-13
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
This paper depicts our work in smoothing the sample autocorrelation function (ACF) of traffic.
The experimental results exhibit that the sample ACF of traffic may be smoothed by the way of average.
In addition, the results imply that the sum of sample ACFs of traffic convergences.
Considering that the traffic data used in this research is long-range dependent (LRD), the latter may be meaningful for the theoretical research of LRD traffic.
American Psychological Association (APA)
Li, Ming& Zhao, Wei. 2013. Smoothing the Sample Autocorrelation of Long-Range-Dependent Traffic. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-1010141
Modern Language Association (MLA)
Li, Ming& Zhao, Wei. Smoothing the Sample Autocorrelation of Long-Range-Dependent Traffic. Mathematical Problems in Engineering No. 2013 (2013), pp.1-10.
https://search.emarefa.net/detail/BIM-1010141
American Medical Association (AMA)
Li, Ming& Zhao, Wei. Smoothing the Sample Autocorrelation of Long-Range-Dependent Traffic. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-1010141
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1010141