The wavelet transformation borrowed from signal analysis compresses and analyses the correlationinformation obtained from complex reaction processes in a new way. It reveals information on scaling and clustering.

In a high-speed network such as asynchronous transfer mode Syk91, Uni94] (ATM) a user can specify traac parameters that describe the intended usage pattern in more detail. These include the peak and sustainable (mean) cell rate as well as the maximum burst size. Based on these parameters the network must decide whether to accept or refuse the connection, and it must reserve resources to guarant...

This work considers signals whose values are discrete states. It proceeds by expressing the transition probabilities of a nonstationary Markov chain by means of models involving wavelet expansions and then, given part of a realization of such a process, proceeds to estimate the coe$cients of the expansion and the probabilities themselves. Through choice of the number of and which wavelet terms ...

Abstract The study analyses the asymmetric and nonlinear influence of oil price on exchange rates South Asian countries in time–frequency framework using wavelet technique. For empirical analysis, monthly data are examined from July 1983 to June 2018. Wavelet coherence results show that variables phase, i.e., prices positively correlated. It suggests influences positively. also investigates cau...

Introduction To extract and combine information from different modalities, fusion techniques are commonly applied to promote system performance. In this study, we aimed to examine the effectiveness of fusion techniques in emotion recognition. Materials and Methods Electrocardiogram (ECG) and galvanic skin responses (GSR) of 11 healthy female students (mean age: 22.73±1.68 years) were collected ...

This paper concentrates on a new procedure which experimentally recognises gears and bearings faults of a typical gearbox system using a least square support vector machine (LSSVM). Two wavelet selection criteria Maximum Energy to Shannon Entropy ratio and Maximum Relative Wavelet Energy are used and compared to select an appropriate wavelet for feature extraction. The fault diagnosis method co...

‎this article presents a systematic study for structure of finite wavelet frames‎ ‎over prime fields‎. ‎let $p$ be a positive prime integer and $mathbb{w}_p$‎ ‎be the finite wavelet group over the prime field $mathbb{z}_p$‎. ‎we study theoretical frame aspects of finite wavelet systems generated by‎ ‎subgroups of the finite wavelet group $mathbb{w}_p$.

Introduction: A major problem facing the patients with chronic liver diseases is the diagnostic procedure.  The conventional diagnostic method depends mainly on needle biopsy which is an invasive method. There  are  some  approaches  to  develop  a  reliable  noninvasive  method  of  evaluating  histological  changes  in  sonograms. The main characteristic used to distinguish between the normal...