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A correlation-based computational model for synthesizing long-range dependent data

Authors :
Li, Ming
Chi, Chi-Hung
Source :
Journal of the Franklin Institute. Sep2003, Vol. 340 Issue 6/7, p503. 12p.
Publication Year :
2003

Abstract

The authors present a computation model to generate long-range dependent (LRD) data according to a given correlation structure by filtering white noise. The simulation procedure of LRD data according to a given correlation structure is explained. A case study is illustrated with real LRD data series in the Internet. [Copyright &y& Elsevier]

Details

Language :
English
ISSN :
00160032
Volume :
340
Issue :
6/7
Database :
Academic Search Index
Journal :
Journal of the Franklin Institute
Publication Type :
Periodical
Accession number :
12039880
Full Text :
https://doi.org/10.1016/j.jfranklin.2003.09.002