Nonlinear Time Series 2013


Ming, Li and Cattani, Carlo and Lim, S. C. and Scalia, Massimo (2014) Nonlinear Time Series 2013. Mathematical Problems in Engineering, 2014. ISSN 1024-123X

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Nonlinear time series plays a fundamental role in various fields of sciences and engineering, ranging from physical and life sciences to telecommunication engineering. One of the most challenging tasks of research is to face nonlinear problems which nonlinearly depend on a large number of parameters and/or are based on unpredictable, random, or fractal-like behavior. Some of the more intriguing and modern topics such as telecommunication, traffic dynamics, complex networks, optimization, and fractional dynamics, can be described by nonlinear time series. However, the extraction of useful information from the nonlinear time series by the commonly used analytical techniques is often difficult due the presence of noise in the signals. In this issue, we have selected papers on the main theme of identifying correct methods for the optimal understanding of the relevant information hidden in a signal representing a nonlinear phenomenon. We believe that there is a strong interest on this topic, although a widely accepted methodology for a proper investigation of nonlinear time series is still an open question. Through the collected papers of this issue we want to illustrate some of the interesting approaches and smart techniques which we hope can be regarded as a small step towards a systematic method for analyzing nonlinear time series.

Item Type: Article
Subjects: Q Science > QA Mathematics
Divisions: Faculty of Engineering (FOE)
Depositing User: Ms Nurul Iqtiani Ahmad
Date Deposited: 10 Mar 2014 08:04
Last Modified: 10 Mar 2014 08:04


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