Self similarity analysis via fractional Fourier transform

ÇİFLİKLİ, Cebrail; GEZER, Ali

doi:10.1016/j.simpat.2010.12.009

Self similarity analysis via fractional Fourier transform

Atıf İçin Kopyala

ÇİFLİKLİ C., GEZER A.

SIMULATION MODELLING PRACTICE AND THEORY, cilt.19, sa.3, ss.986-995, 2011 (SCI-Expanded)

Yayın Türü: Makale / Tam Makale
Cilt numarası: 19 Sayı: 3
Basım Tarihi: 2011
Doi Numarası: 10.1016/j.simpat.2010.12.009
Dergi Adı: SIMULATION MODELLING PRACTICE AND THEORY
Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
Sayfa Sayıları: ss.986-995
Erciyes Üniversitesi Adresli: Evet

Özet

Self similarity has taken great interest in computer networks since modeling of Ethernet traffic via self similarity. Recent studies have shown that network traffic exhibits long range dependency which could not be modeled with Poisson distribution. Time and frequency domain representations are frequently utilized to better visualize and characterize self similar stochastic processes.