In this paper, we consider statistical characteristics of real User Datagram Protocol (UDP) traffic. Four main issues in the study include(i) the presence of long rangedependence (LRD) in the UDP traffic,(ii) the marginal distribution of the UDP traces,(iii) dependence structure of wavelet coefficients,(iv) and performance evaluation of the Hurst parameter estimation based on different numbers ...

A time-frequency identification technique based on wavelet transform is formulated and applied to free-decay responses of linear systems with non-proportional viscous damping. The Cauchy mother wavelet is used. Frequencies, modal damping ratios and complex mode shapes are identified from output-only free vibration signals. This identification technique has also shown to be effective when the (n...

OBJECTIVE To determine a preferred wavelet transform (WT) procedure for multi-resolution analysis (MRA) of auditory evoked potentials (AEP). METHODS A number of WT algorithms, mother wavelets, and pre-processing techniques were examined by way of critical theoretical discussion followed by experimental testing of key points using real and simulated auditory brain-stem response (ABR) waveforms...

The cutaneous recording of gastric myoelectrical activity of the stomach known as electrogastrography (EGG) seems to be the promising tool for the non-invasive assessment of gastric motility. Unfortunately the EGG recording is usually severely contaminated both by motion artefacts and endogenous biological noise source. In order to use EGG signals as reliable diagnostic tool it is necessity to ...

The paper proposes a wavelet-based forecasting method for time series. We used the multi-resolution decomposition of the signal implemented using trous wavelet transform. We combined the Stationary Wavelet Transform (SWT) with four prediction methodologies: Artificial Neural Networks, ARIMA, Linear regression and Random walk. These techniques were applied to two types of real data series: WiMAX...

Atmospheric CO2, CH4, and CO are measured in a variety of locations across Canada. The wavelet transform is used to find points of interest, such as the daily carbon cycle, as well as longer term oscillations. Wavelet coherence finds patterns linking the sequences around 7 to 10 day oscillations, mostly during the summer. The daily CO2 cycle is stronger in more southern and urban locales, indic...

| A multiple access communication scheme using wavelet-based orthogonal codes is described. The message bit stream in each channel is encoded as a sequence of time-shifted replicates of a mother wavelet symbol at a particular scale. Diierent channels use the same wavelet symbol but a diierent scale. The messages are decod-able if the time-shifted and dilated replicates of the wavelet symbol use...

An exact solution of the homogeneous wave equation which was found previously is treated from the point of view of the continuous wavelet analysis (CWA). Time being a fixed parameter the solution yields a new multidimensional mother wavelet for the CWA. Both the wavelet and its Fourier transform are given with explicit formulas and are exponentially localized. The wavelet is directional. The wi...

In this paper, the influence of four key issues on wavelet-based analysis of hydrologic series’ complexity under multi-temporal scales, including the choice of mother wavelet, noise, estimation of probability density function and trend of series data, was first studied. Then, the complexities of several representative hydrologic series data were quantified and described, based on which the perf...

An exact solution of the homogeneous wave equation, which was found previously, is treated from the point of view of continuous wavelet analysis (CWA). If time is a fixed parameter, the solution represents a new multidimensional mother wavelet for the CWA. Both the wavelet and its Fourier transform are given by explicit formulas and are exponentially localized. The wavelet is directional. The w...