The problem of simulation of multivariate Lévy processes is investigated. A method based on generalized shot noise series representations of Lévy processes combined with Gaussian approximation of the remainder is established in full generality. This method is applied to multivariate stable and tempered stable processes and formulas for their approximate simulation are obtained. Key-words: Lévy ...

Abstract Stable skeletons are promising as a compact, concise, and efficient descriptor since they can reflect much critical information about the original object, such topology, connectivity, etc. However, extracting stable from images is very challenging most existing skeleton extraction methods, also named skeletonization methods in some literature, sensitive to noise, which limits applicati...

 A step-by-step algorithm for enhancement of periodic signals that are highly corrupted by additive uncorrelated white gausian noise is proposed. In each adaptation step a new parallel second-order section is added to the previous filters. Every section has only one adjustable parameter, i.e., the center frequency of the self-tuning filter. The bandwidth and the convergence factor of each secti...

We present a numerical study of a one-dimensional version of the Burridge-Knopoff model [16] of N-site chain of spring-blocks with stick-slip dynamics. Our numerical analysis and computer simulations lead to a set of different results corresponding to different boundary conditions. It is shown that we can convert a chaotic behaviour system to a highly ordered and periodic behaviour by making on...

Abstract: Biomedical signals are commonly recorded with many kinds of noise. One of these is a waveform of the electrical activity of muscles. This “natural” distortion is usually modelled with a white Gaussian noise. In order to suppress such noise a weighted myriad filter is applied. The weighted myriad filter belongs to a class of non-linear filters and requires knowledge about noise impulsi...

Introduction: Emergent wireless sensor networks based applications have motivated the development of distributed adaptive estimation schemes. Distributed least mean squares (LMS) [1] and recursive least squares (RLS) type algorithms have received more attentions [2]. Readers can refer to [3] and the references therein for details about up to date diffusion strategies for adaptation and learning...