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Publikācija: Analysis of Wavelet Estimation of Self-Similar Traffic Parameters in the Simulink Model

Publication Type Scientific article indexed in SCOPUS or WOS database
Funding for basic activity Unknown
Defending: ,
Publication language English (en)
Title in original language Analysis of Wavelet Estimation of Self-Similar Traffic Parameters in the Simulink Model
Field of research 2. Engineering and technology
Sub-field of research 2.2 Electrical engineering, Electronic engineering, Information and communication engineering
Authors Alfrēds Asars
Elans Grabs
Ernests Pētersons
Keywords wavelet analysis, Hurst parameter, queuing theory
Abstract The queue model P/M/1/K with the Hurst parameter (self-similarity parameter) estimator in the Simulink environment is described in the present paper using wavelet transformation. The estimation error of the parameter is analyzed depending on the parameter’s value, as well as the number of measurements based on which the parameter is estimated. This is an experimental paper aimed at accumulating knowledge on the practicability of estimating the Hurst parameter and on the estimation accuracy in the case of using wavelet analysis.
DOI: 10.3103/S0146411613030024
Hyperlink: http://link.springer.com/article/10.3103%2FS0146411613030024 
Reference Asars, A., Grabs, E., Pētersons, E. Analysis of Wavelet Estimation of Self-Similar Traffic Parameters in the Simulink Model. Automatic Control and Computer Sciences, 2013, Vol.47, No.3, pp.132-138. ISSN 0146-4116. e-ISSN 1558-108X. Available from: doi:10.3103/S0146411613030024
Additional information Citation count:
ID 16118