In the next example, the signal vector randomization method (SVR1) as given in (9), the deterministic SVR method (SVR2) as given in (11), the frequency estimation method (TK) outlined in Section III, and the spatial smoothing methods are compared. All three sources are perfectly correlated, i.e., they have a zero relative phase angle at each iteration, e.g., multipath propagation where the path...

This paper reports the feasibility of the ARMA model to describe a bursty video source transmitting over a AAL5 ATM link (VBR traffic). The traffic represents the activity of the action movie "Lethal Weapon 3" transmitted over the ATM network using the Fore System AVA-200 ATM video codec with a peak rate of 100 Mbps and a frame rate of 25. The model parameters were estimated for a single video ...

Discrete time-varying autoregressive moving average (ARMA) models are used to describe realistic earthquake ground motion time histories. Both amplitude and frequency nonstationarities are incorporated in the model. An iterative Kalman filtering scheme is introduced to identify the time-varying parameters of an ARMA model from an actual earthquake record. Several model verification tests are pe...