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Source and Channel Coding Issues for ATM Networks

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Signal Processing in Telecommunications

Abstract

This paper discusses source and channel coding issues as applicable to ATM networks. Asynchronous Transfer Mode (ATM) has rapidly emerged as the appropriate transport technique for Broadband ISDN. Among the various services offered in future ATM networks, packetized variable bit-rate (VBR) video is likely to be one of the largest users of bandwidth.

However, packet loss is virtually inevitable in such networks for VBR video due to the stochastic nature of traffic. Imperfectly recovered packets lead to error propagation in representative video compression algorithms, particularly those using motion compensation. As a result, it would appear highly beneficial to use some form of active recovery scheme, such as forward error-control (FEC) coding, which offers the potential benefit of improved recovery in the event of packet loss and/or errors. This paper discusses different techniques of applying FEC incorporating ideas of combined source-channel coding. Furthermore, it introduces a simple code selection strategy which yields codes providing close to optimal performance. Verification of its efficiency is provided by comparing performance of such selected codes to information-theoretic bounds.

This work was performed while the first author was at the ECSE Dept., Rensselaer Polytechnic Institute. He is presently at Thomson Consumer Electronics, Indianapolis, USA. This work was supported in part by ARPA under Contract No. F30602-92-C-0030.

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© 1996 Springer-Verlag London Limited

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Parthasarathy, V., Modestino, J.W., Vastola, K.S. (1996). Source and Channel Coding Issues for ATM Networks. In: Biglieri, E., Luise, M. (eds) Signal Processing in Telecommunications. Information Technology: Transmission, Processing and Storage. Springer, London. https://doi.org/10.1007/978-1-4471-1013-2_10

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  • DOI: https://doi.org/10.1007/978-1-4471-1013-2_10

  • Publisher Name: Springer, London

  • Print ISBN: 978-3-540-76019-1

  • Online ISBN: 978-1-4471-1013-2

  • eBook Packages: Springer Book Archive

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