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首页> 外文期刊>EURASIP journal on advances in signal processing >Multiple Description Coding with Side Information:Practical Scheme and Iterative Decoding
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Multiple Description Coding with Side Information:Practical Scheme and Iterative Decoding

机译:附带信息的多描述编码:实用方案和迭代解码

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Multiple description coding (MDC) with side information (SI) at the receiver is particularly relevant for robust transmission insensor networks where correlated data is being transmitted to a common receiver, as well as for robust video compression. Therate-distortion region for this problem has been established in (Vaishampayan 1993). Here, we focus on the design of a practicalMDC scheme with SI at the receiver. It builds upon both MDC principles and Slepian-Wolf (SW) coding principles. The inputsource is first quantized with a multiple description scalar quantizer (MDSQ) which introduces redundancy or correlation in thetransmitted streams in order to take advantage of the path diversity. The resulting sequences of indexes are SW encoded, that is,separately encoded and jointly decoded. While the first step (MDSQ) plays the role of a channel code the second one (SW coding)plays the role of a source code, compressing the sequences of quantized indexes. In a second step, the cross-decoding of the twodescriptions is proposed. This allows us to account for both the correlation with the SI as well as the correlation between the twodescriptions.
机译:在接收器处具有辅助信息(SI)的多描述编码(MDC)与在传感器网络中进行健壮的传输(其中相关数据正在传输到公共接收器)以及健壮的视频压缩特别相关。 (Vaishampayan 1993)已经建立了这个问题的速率失真区域。在这里,我们专注于在接收器处使用SI的实用MDC方案的设计。它以MDC原理和Slepian-Wolf(SW)编码原理为基础。首先使用多描述标量量化器(MDSQ)对输入源进行量化,该描述器在传输的流中引入冗余或相关性,以便利用路径分集。所得到的索引序列经过SW编码,即分别编码和联合解码。第一步(MDSQ)扮演通道代码的角色,而第二步(SW编码)扮演源代码的角色,压缩量化索引的序列。在第二步骤中,提出了两个描述的交叉解码。这使我们能够考虑与SI的相关性以及两个描述之间的相关性。

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