Nonlinear Time Series: Computations and Applications 2012
Ming Li, Massimo Scalia, Carlo Cattani, Sungbin Lim, Bin Fang, Thomas T. Yang · Mathematical Problems in Engineering · 2012
Nonlinear time series attracts the interests of scientists and engineers in both research and applications in various fields, ranging from hydrology to computer science.It is a powerful tool for revealing interesting phenomena in natural science and engineering regarding challenging issues in, for instances, fractal random functions, differential equations of fractional order, fractional calculus, prediction of random functions, technologies in denoising for both signals and images, pattern recognition, wavelets, and so forth.The aim of this special issue is to collect high quality papers with respect to nonlinear time series, its computations, and applications.There are 28 papers collected in this special issue in the related topics.We introduce them by six paragraphs below.A.-J. Shi and J.-G.Lin's paper entitled "Tail dependence for regularly varying time series" studies regularly varying time series to describe heavy-tailed phenomena from a view of tail dependence by introducing a dependence function and establishing a relationship between the dependence function and the intensity measure with discussions of their present expressions about dependence parameters.J. Xue et al.'s paper "Bound maxima as a traffic feature under DDOS flood attacks" provides a novel method to characterize the traffic features with and without attacking packets.The paper entitled "A novel fractional-discrete-cosinetransform-based reversible watermarking for healthcare information management systems" by L.-T.Ko et al. presents a new method of watermarking to reconstruct host images by using the technique of discrete cosine transform of fractional order.I. Cherif et al.'s paper "Nonlinear