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Unequal Erasure Protection Technique for Scalable Multistreams

机译:可扩展多流的不平等擦除保护技术

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摘要

This paper presents a novel unequal erasure protection (UEP) strategy for the transmission of scalable data, formed by interleaving independently decodable and scalable streams, over packet erasure networks. The technique, termed multistream UEP (M-UEP), differs from the traditional UEP strategy by: 1) placing separate streams in separate packets to establish independence and 2) using permuted systematic Reed–Solomon codes to enhance the distribution of message symbols amongst the packets. M-UEP improves upon UEP by ensuring that all received source symbols are decoded. The R-D optimal redundancy allocation problem for M-UEP is formulated and its globally optimal solution is shown to have a time complexity of $O(2^{N}N(L+1)^{N+1})$ , where $N$ is the number of packets and $L$ is the packet length. To address the high complexity of the globally optimal solution, an efficient suboptimal algorithm is proposed which runs in $O(N^{2}L^{2})$ time. The proposed M-UEP algorithm is applied on SPIHT coded images in conjunction with an appropriate grouping of wavelet coefficients into streams. The experimental results reveal that M-UEP consistently outperforms the traditional UEP reaching peak improvements of 0.6 dB. Moreover, our tests show that M-UEP is more robust than UEP in adverse channel conditions.
机译:本文提出了一种新颖的不平等擦除保护(UEP)策略,用于通过分组擦除网络交错可独立解码和可伸缩的流而形成的可伸缩数据的传输。称为多流UEP(M-UEP)的技术与传统UEP策略的不同之处在于:1)将单独的流放在单独的数据包中以建立独立性; 2)使用置换的系统里德-所罗门码来增强消息符号在其中的分布包。 M-UEP通过确保对所有接收到的源符号进行解码来改进UEP。提出了M-UEP的RD最优冗余分配问题,其全局最优解的时间复杂度为$ O(2 ^ {N} N(L + 1)^ {N + 1})$,其中N $是数据包的数量,$ L $是数据包的长度。为了解决全局最优解决方案的高复杂性,提出了一种有效的次优算法,该算法以$ O(N ^ {2} L ^ {2})$的时间运行。所提出的M-UEP算法结合小波系数到流中的适当分组应用于SPIHT编码图像。实验结果表明,M-UEP始终优于传统UEP,达到0.6 dB的峰值改进。此外,我们的测试表明,在不利的信道条件下,M-UEP比UEP更为健壮。

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