Improved FFT-based alpha-stable density approximation algorithm

Approximation of density of α-stable process is an elementary works in modeling network flow using α-stable process.Combining the mathematical properties of characteristic function of α-stable process with the traditional approximating algorithm,an improved FFT-based algorithm was proposed.The impro...

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Main Authors: BAI Yun, YU Li, ZHU Guang-xi, LI Li
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2007-01-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/74657051/
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author BAI Yun
YU Li
ZHU Guang-xi
LI Li
author_facet BAI Yun
YU Li
ZHU Guang-xi
LI Li
author_sort BAI Yun
collection DOAJ
description Approximation of density of α-stable process is an elementary works in modeling network flow using α-stable process.Combining the mathematical properties of characteristic function of α-stable process with the traditional approximating algorithm,an improved FFT-based algorithm was proposed.The improved algorithm has 2 noticeable features: automatically choosing the sampling space and sampling interval,importing frequency expansion.Experiments show that it can decrease calculation complexity and effectively control computation error.
format Article
id doaj-art-aea3e56e604b43e89556789b142a828c
institution DOAJ
issn 1000-436X
language zho
publishDate 2007-01-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-aea3e56e604b43e89556789b142a828c2025-08-20T02:41:41ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2007-01-01485374657051Improved FFT-based alpha-stable density approximation algorithmBAI YunYU LiZHU Guang-xiLI LiApproximation of density of α-stable process is an elementary works in modeling network flow using α-stable process.Combining the mathematical properties of characteristic function of α-stable process with the traditional approximating algorithm,an improved FFT-based algorithm was proposed.The improved algorithm has 2 noticeable features: automatically choosing the sampling space and sampling interval,importing frequency expansion.Experiments show that it can decrease calculation complexity and effectively control computation error.http://www.joconline.com.cn/zh/article/74657051/network modelingalpha-stable processdensity approximationerror control
spellingShingle BAI Yun
YU Li
ZHU Guang-xi
LI Li
Improved FFT-based alpha-stable density approximation algorithm
Tongxin xuebao
network modeling
alpha-stable process
density approximation
error control
title Improved FFT-based alpha-stable density approximation algorithm
title_full Improved FFT-based alpha-stable density approximation algorithm
title_fullStr Improved FFT-based alpha-stable density approximation algorithm
title_full_unstemmed Improved FFT-based alpha-stable density approximation algorithm
title_short Improved FFT-based alpha-stable density approximation algorithm
title_sort improved fft based alpha stable density approximation algorithm
topic network modeling
alpha-stable process
density approximation
error control
url http://www.joconline.com.cn/zh/article/74657051/
work_keys_str_mv AT baiyun improvedfftbasedalphastabledensityapproximationalgorithm
AT yuli improvedfftbasedalphastabledensityapproximationalgorithm
AT zhuguangxi improvedfftbasedalphastabledensityapproximationalgorithm
AT lili improvedfftbasedalphastabledensityapproximationalgorithm