Residential College | false |
Status | 已發表Published |
Quantitatively investigating the locally weak stationarity of modified multifractional Gaussian noise | |
Li M.; Zhao W. | |
2012 | |
Source Publication | Physica A: Statistical Mechanics and its Applications |
ISSN | 3784371 |
Volume | 391Issue:24Pages:6268 |
Abstract | We suggest that there exists a critical point H=0.70 of the local Hölder exponent H(t) for describing the weak stationary (stationary for short) property of the modified multifractional Gaussian noise (mmGn) from the point of view of engineering. More precisely, when H(t)>0.70 for t∈[0,∞], the stationarity of mmGn is conditional, relying on the variation ranges of H(t). When H(t)≤0.70, on the other side, mmGn is unconditionally stationary, yielding a consequence that short-memory mmGn is stationary. In addition, for H(t)>0.70, we introduce the concept of stationary range denoted by ( Hmin, Hmax). It means that Corr[r(τ;H( t1)),r(τ;H( t2))]<0.70 if H( t1), H( t2)∈( Hmin, Hmax), where r(τ;H( t1)) and r(τ;H( t2)) are the autocorrelation functions of mmGn with H( t1) and H( t2) for t1≠ t2, respectively, and Corr[r(τ;H( t1)),r(τ;H( t2))] is the correlation coefficient between r(τ;H( t1)) and r(τ;H( t2)). We present a set of stationary ranges, which may be used for a quantitative description of the local stationarity of mmGn. A case study is demonstrated for applying the present method to testing the stationarity of a real-traffic trace. © 2012 Elsevier B.V. All rights reserved. |
Keyword | Autocorrelation Function Hölder Exponent Locally Weak Stationarity Modified Multifractional Gaussian Noise |
DOI | 10.1016/j.physa.2012.07.043 |
URL | View the original |
Language | 英語English |
WOS ID | WOS:000309626900003 |
The Source to Article | Scopus |
Scopus ID | 2-s2.0-84865861561 |
Fulltext Access | |
Citation statistics | |
Document Type | Journal article |
Collection | University of Macau |
Recommended Citation GB/T 7714 | Li M.,Zhao W.. Quantitatively investigating the locally weak stationarity of modified multifractional Gaussian noise[J]. Physica A: Statistical Mechanics and its Applications, 2012, 391(24), 6268. |
APA | Li M.., & Zhao W. (2012). Quantitatively investigating the locally weak stationarity of modified multifractional Gaussian noise. Physica A: Statistical Mechanics and its Applications, 391(24), 6268. |
MLA | Li M.,et al."Quantitatively investigating the locally weak stationarity of modified multifractional Gaussian noise".Physica A: Statistical Mechanics and its Applications 391.24(2012):6268. |
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