Mathematical Problems in Engineering

Nonlinear Time Series 2013


Publishing date
06 Dec 2013
Status
Published
Submission deadline
19 Jul 2013

Lead Editor

1East China Normal University, 500 Dong-Chuan Road, Shanghai 200241, China

2Department of Mathematics, University of Salerno, Via Ponte Don Melillo, Fisciano, 84084 Salerno, Italy

3Multimedia University, 63100 Cyberjaya, Selangor, Malaysia

4Dipartimento di Matematica - Sapienza Università di Roma, 00185 Roma, Italy


Nonlinear Time Series 2013

Description

Nonlinear time series attracts researchers from many areas of sciences and technologies, ranging from mathematics and physics to computer science. The focus of this special issue is on theory and computations of nonlinear time series of fractal type toward the applications to various issues in science and engineering. Generally, we are interested in signals/time series and systems/equations of fractional order. It would be an opportunity for extending the research fields of fractals, wavelets, applied mathematics, and applied statistics in theoretical and practical studies.

We are soliciting original high-quality research and review papers on topics of interest connected with the nonlinear time series. Potential topics include, but are not limited to:

  • Fractal time series (1/f noise, fractional Brownian motion, fractional Gaussian noise, self-similar processes, long memory processes, and heavy-tailed random processes), its modeling, and computations
  • Dynamical systems relating to fractal time series
  • Wavelets and their applications to nonlinear time series
  • Prediction of nonlinear time series
  • Chaotic dynamics in deterministically dynamical systems, mainly to the climate change problems

In addition, applications to pulses, telecommunications, cyber-physical networking systems, bioengineering, industrial management science, financial engineering, and geosciences are welcome. Moreover, test methods of nonlinearity and nonstationarity of fractal time series, time-frequency analysis of nonlinear time series, and signals and images of fractional order are in the scope of this issue.

Before submission authors should carefully read over the journal’s Author Guidelines, which are located at http://www.hindawi.com/journals/mpe/guidelines/. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at http://mts.hindawi.com/submit/journals/mpe/nlts13/ according to the following timetable:


Articles

  • Special Issue
  • - Volume 2013
  • - Article ID 767502
  • - Research Article

Wild Fluctuations of Random Functions with the Pareto Distribution

Ming Li | Wei Zhao
  • Special Issue
  • - Volume 2013
  • - Article ID 516150
  • - Research Article

Set Pair Analysis Based on Phase Space Reconstruction Model and Its Application in Forecasting Extreme Temperature

Yin Zhang | Xiao-hua Yang | ... | Ling-xia Qiao
  • Special Issue
  • - Volume 2013
  • - Article ID 860389
  • - Research Article

Symbol Error Rate as a Function of the Residual ISI Obtained by Blind Adaptive Equalizers for the SIMO and Fractional Gaussian Noise Case

Monika Pinchas
  • Special Issue
  • - Volume 2013
  • - Article ID 935815
  • - Research Article

An ARMA Type Fuzzy Time Series Forecasting Method Based on Particle Swarm Optimization

Erol Egrioglu | Ufuk Yolcu | ... | Cem Kocak
  • Special Issue
  • - Volume 2013
  • - Article ID 725730
  • - Research Article

Convergence of Sample Autocorrelation of Long-Range Dependent Traffic

Ming Li | Wei Zhao
  • Special Issue
  • - Volume 2013
  • - Article ID 736585
  • - Research Article

Adaptive Synchronization of Complex Dynamical Multilinks Networks with Similar Nodes

Weiping Wang | Lixiang Li | ... | Yixian Yang
  • Special Issue
  • - Volume 2013
  • - Article ID 842197
  • - Research Article

On the Long-Range Dependence of Fractional Brownian Motion

Ming Li
Mathematical Problems in Engineering
 Journal metrics
Acceptance rate27%
Submission to final decision64 days
Acceptance to publication34 days
CiteScore1.800
Impact Factor1.009
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