广播信道码率损失与码结构研究

H. Feng, M. Effros
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引用次数: 0

摘要

本文首先对广播信道的码率损失进行了定义和绑定。我们的广播信道模型包括一个发射机和两个接收机;发射器通过专用信道连接到每个接收器,并通过公共信道连接到两个接收器。发射器通过这些通道发送源(X, Y)的描述,接收器1以失真D1重建X,接收器2以失真D2重建Y。假设公共通道1和私有通道2的速率分别为R0、R1和R2。Gray和Wyner的工作给出了给定任意失真对(D1,D2)的所有可实现的速率三元组(R0,R1,R2)的完整表征。本文将速率损失定义为R0+R1+R2≥RX、Y (D1,D2)、R0+R1≥RX(D1)、R0+ R2≥RY (D2)等速率畸变函数构成的可达区域与外界之间的间隙。我们用畸变函数为一般源的速率损失上界,用常数为高斯源的速率损失上界,这意味着虽然外界通常是不可达到的,但它可能非常接近可达到的区域。这也限制了Gray和Wyner提出的可实现区域和内部边界之间的差距,并限制了使用单独解码器而不是联合解码器所带来的性能损失。然后,我们使用熵约束的抖动量化器构造这样的源代码。所得到的实现具有较低的复杂度和接近理论最优的性能。特别是,它的性能和理论最优之间的差距可以由上面的高斯源常数来界定。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On the rate loss and construction of source codes for broadcast channels
In this paper, we first define and bound the rate loss of source codes for broadcast channels. Our broadcast channel model comprises one transmitter and two receivers; the transmitter is connected to each receiver by a private channel and to both receivers by a common channel. The transmitter sends a description of source (X, Y) through these channels, receiver 1 reconstructs X with distortion D1, and receiver 2 reconstructs Y with distortion D2. Suppose the rates of the common channel and private channels 1 and 2 are R0, R1, and R2, respectively. The work of Gray and Wyner gives a complete characterization of all achievable rate triples (R0,R1,R2) given any distortion pair (D1,D2). In this paper, we define the rate loss as the gap between the achievable region and the outer bound composed by the rate-distortion functions, i.e., R0+R1+R2 ≥ RX,Y (D1,D2), R0 + R1 ≥ RX(D1), and R0 + R2 ≥ RY (D2). We upper bound the rate loss for general sources by functions of distortions and upper bound the rate loss for Gaussian sources by constants, which implies that though the outer bound is generally not achievable, it may be quite close to the achievable region. This also bounds the gap between the achievable region and the inner bound proposed by Gray and Wyner and bounds the performance penalty associated with using separate decoders rather than joint decoders. We then construct such source codes using entropy-constrained dithered quantizers. The resulting implementation has low complexity and performance close to the theoretical optimum. In particular, the gap between its performance and the theoretical optimum can be bounded from above by constants for Gaussian sources.
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