Application of Nonuniform Sampling to Error Concealment
Despite the huge advances in the communication networks industry, the new breed of multimedia applications and services is pushing the existing networks to their bandwidth limits. In ATM networks, the bandwidth is dynamically allocated according to the requirements of the transmitted services. ATM cells are usually stored in the switch buffers before being routed to the destination node. In practice, ATM buffers have limited sizes and they may overflow in the case of congested traffic. When ATM buffers overflow, low priority cells are dropped to ensure transmission continuity of the service using the rest of the cells. Also, ATM cells may be mis-routed due to non-correctable bit errors in the routing information of the cells. When ATM cells carry in their payload a compressed image, cell losses due to buffer overflow or cell mis-routing can cause major degradation in the quality of the transported image. This degradation is usually in the form of corrupted blocks or macroblocks. Losing one cell may result into the loss of several blocks of the compressed image.
KeywordsExpense Acoustics Lost
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- M. Hasan, A. Sharaf, and F. Marvasti. Subimage Error Concealment Techniques. Proceedings of the IEEE International Symposium on Circuits and Systems (ISCAS 98), Monterey, CA, USA, 4:245–248, June 1998.Google Scholar
- A. Narula and J. Lim. Error Concealment Techniques for an All-Digital High-Definition Television System. Proceedings of the SPIE Conference on Visual Communications and Image Processing, 2094:304–315, 1993.Google Scholar
- M. Hasan, A. Sharaf, and F. Marvasti. Novel Error Concealment Techniques for Images in ATM Environments. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 98), Seattle, USA, 5:2833–2836, May 1998.Google Scholar
- M. Hasan, F. Marvasti, and M. Echhart. Speech Recovery with Bursty Losses. Proceedings of the International Conference of Telecommunications (ICT 98), Greece, vol. II, July 1998, pp. 264–268.Google Scholar
- F. Marvasti, M. Hasan, and M. Echhart. An Efficient Technique for Burst Error Recovery. Proceedings of the International Workshop on Sampling Theory and Applications (SAMPTA ′97), Aveiro, Portugal, June 1997, pp. 161–168.Google Scholar
- F. Marvasti. A Unified Approach to Zero-Crossings and Nonuniform Sampling of Single and Multidimensional Signals and Systems. Oak Park, IL: Nonuniform Publications, (1st edn), 1987.Google Scholar
- R. Blahut. Algebraic Methods for Signal Processing and Communications Coding. Springer-Verlag, 1992.Google Scholar
- M. Hasan. Error Concealment Techniques Suitable for Still Images in Erasure Channels. Ph.D. Thesis, King’s College London, UK, December 1999.Google Scholar
- M. Hasan and F. Marvasti. Error Concealment of Isolated Random Losses using Linear Prediction. Proceedings of the International Conference of Telecommunications (ICT 99), Korea, June 1999.Google Scholar
- F. Marvasti. Applications of Non-Uniform Sampling. Proceedings of the Sampling Theory and Applications Workshop (SAMPTA′95), Jurmala, Latvia, September 1995, pp. 19–22.Google Scholar