Wavelets and subband coding
Adaptive filter theory (3rd ed.)
Adaptive filter theory (3rd ed.)
Statistical properties of MPEG video traffic and their impact on traffic modeling in ATM systems
LCN '95 Proceedings of the 20th Annual IEEE Conference on Local Computer Networks
Supporting real time VBR video using dynamic reservation based on linear prediction
INFOCOM'96 Proceedings of the Fifteenth annual joint conference of the IEEE computer and communications societies conference on The conference on computer communications - Volume 3
Wavelet-based linear system modeling and adaptive filtering
IEEE Transactions on Signal Processing
Wavelet transform based adaptive filters: analysis and new results
IEEE Transactions on Signal Processing
Highly scalable wavelet-based video codec for very low bit-rate environment
IEEE Journal on Selected Areas in Communications
Predictive dynamic bandwidth allocation for efficient transport of real-time VBR video over ATM
IEEE Journal on Selected Areas in Communications
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Dynamic bandwidth allocation using adaptive prediction can significantly improve the efficiency and QoS guarantees in transporting VBR video over ATM network. Conventionally, the time-domain least-mean-square (LMS) predictor is used, with the drawback of slow convergence. In VBR video traffic characterized by frequent scene changes, this slow convergence may result in extended periods of intractability and excessive cell loss during scene changes. In this article, we propose an adaptive wavelet predictor for dynamic bandwidth allocation. The wavelet predictor converges faster and hence, tracks scene changes better. Our simulation results show that, in comparison with LMS predictor, the wavelet predictor reduces the prediction error by an average of 11% over the six half-an-hour-long empirical MPEG-1 traces. The dynamic bandwidth allocation using wavelet prediction significantly reduces the cell-loss-rate over various network settings, especially at large buffer sizes.