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Turbo-Like Codes for Transmission of Correlated Sources over Noisy Channels

机译：Turbo-Like码，用于在噪声通道上传输相关源

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摘要

In this article we focus on distributed coding of correlated sources that are transmitted through either separated noisy channels (one per source) or over a multiple access channel (MAC). For simplicity, we consider only two sources, but the proposed approach can be easily extended to the case of more sources. The two sources are encoded independently of each other (i.e., for a given source neither the realization from the other source nor the correlation model are available at the encoder site) and transmitted through the channel. Then, the correlation between the sources is exploited at a common receiver, aiming at the reconstruction of the two sources. Although this problem has many practical applications e.g., in the case of sensor networks (where correlated data has to be communicated between the different nodes) and video/image applications, we will focus in the key ideas without discussing specific applications. For simplicity, we will assume simple correlation models and binary sources.
机译：在本文中，我们专注于通过独立的有噪声通道（每个源一个）或通过多路访问通道（MAC）传输的相关源的分布式编码。为简单起见，我们仅考虑两个来源，但是可以将所提出的方法轻松扩展到更多来源的情况。这两个源彼此独立地被编码（即，对于给定的源，在编码器站点上既没有来自另一个源的实现，也没有相关模型在编码器站点上可用），并通过信道进行发送。然后，在公共接收器处利用源之间的相关性，旨在重建两个源。尽管此问题有许多实际应用，例如，在传感器网络（必须在不同节点之间传递相关数据）和视频/图像应用的情况下，我们将重点关注关键思想，而无需讨论特定应用。为了简单起见，我们将假设简单的相关模型和二进制源。

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