A new approach for frequency analysis of recorded signals and readout the frequency of harmonics is presented in the paper. The main purpose has been achieved by the cross-correlation function and Hilbert transform. Using the method presented in the paper, there is another possibility to observe and finally to identify single harmonic apart from commonly used Fourier transform. Identification o...

This paper presents a simple formula relating multipath angular spread to small-scale fading statistics. This formula is then applied to nd an approximate spatial cross-correlation function for received voltage envelopes. The analytical approach is compared to 67 cross-correlation functions simulated with non-omnidirectional multipath. The equations in this paper provide insight for applying sp...

In this paper an analytical model is presented in order to capture multimedia traffic characteristics. Multimedia source is modeled by a Switched Batch Bernoulli Process (SBBP) model and traffic characteristics are evaluated in terms of autoand cross correlation functions and IDI of the multimedia conference data flow. Finally, the model is applied to calculate the probability density function ...

Knowledge of the up-to-date physical (i.e., layer-2) topology of an Ethernet network is crucial to a number of critical network management tasks, including reactive and proactive resource management, event correlation, and root-cause analysis. Given the dynamic nature of today’s IP networks, keeping track of topology information manually is a daunting (if not impossible) task. Thus, effective a...

We present an approach to integrate multiple fMRI datasets in the context of predictive fMRI data analysis. The approach utilizes canonical correlation analysis (CCA) to find common dimensions among the different datasets, and it does not require that the multiple fMRI datasets be spatially normalized. We apply the approach to the task of predicting brain activations for unseen concrete-noun wo...

Analyzing spatial-temporal characteristics of traffic in large-scale networks requires both a suitable analysis method and a means to reduce the amount of data that must be collected. Of particular interest would be techniques that reduce the amount of data needed, while simultaneously retaining the ability to monitor spatial-temporal behavior network-wide. In this paper, we propose such a meth...