Two models for variable bit rate MPEG sources

In this paper, two models are proposed for the simulation of MPEG video sources in ATM networks. The projected autoregressive (PAR) model is based on the autoregressive (AR) model compensated by a projection function. The projection function is capable of adjusting the histogram generated by the AR model so that it better fits the histogram obtained from real data. The state transition (ST) model is developed on the basis of recording the variation of frame size in a video sequence. Each state denotes the size of a frame and the number of state depends on the degree of correlation between frames. Our results show that the histogram generated by the ST model is almost identical with that of the real data and the PAR model performs better in capturing the property of autocorrelation of real data. When compared with other models, both of the two models demonstrate an excellent property of fitting the complex histogram curve, which was not achieved by the AR model, and preserving the correlation characteristics. A heuristic search algorithm is also proposed to make our modelling processes more efficient.