Error protection of scalable soures: A comparative analysis of Forward Error Correction and Multiple Description Coding

M. Stoufs, A. Munteanu, J. Barbarien, J. Cornelis, P. Schelkens
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引用次数: 8

Abstract

In this paper we examine the Distortion-Rate (D-R) performance of two competing approaches for error-resilient transmission of scalable sources over error-prone packet-based memoryless channels. Thereby, we consider scalable Joint Source-Channel Coding (JSCC) based on Forward Error Correction (FEC) and scalable Multiple Description Coding (MDC). Our analysis considers memoryless Gaussian input sources encoded using source coders that can achieve theoretical performance bounds. This input source model is independent of actual implementations of the source coders and therefore allows drawing conclusions on the theoretical D-R performance of both approaches. Our comparative analysis indicates that in matched channel conditions, the use of an optimized FEC-based JSCC approach yields significantly better error resilience compared to the use of scalable MDC. Moreover, it is shown that in mismatched conditions a scalable JSCC approach has the potential to outperform a scalable MDC approach.
可扩展源的错误保护:前向纠错与多重描述编码的比较分析
在本文中,我们研究了两种竞争方法的失真率(D-R)性能,用于在易出错的基于分组的无内存信道上传输可扩展源的容错传输。因此,我们考虑了基于前向纠错(FEC)和可扩展多描述编码(MDC)的可扩展联合源信道编码(JSCC)。我们的分析考虑了使用可以达到理论性能界限的源编码器编码的无记忆高斯输入源。该输入源模型独立于源编码器的实际实现,因此可以根据两种方法的理论D-R性能得出结论。我们的比较分析表明,在匹配的信道条件下,与使用可扩展的MDC相比,使用优化的基于fec的JSCC方法可以产生更好的错误恢复能力。此外,本文还表明,在不匹配的条件下,可扩展的JSCC方法有可能胜过可扩展的MDC方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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