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Analog Matching of Colored Sources to Colored Channels

机译:彩色源与彩色通道的模拟匹配

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Analog (uncoded) transmission provides a simple and robust scheme for communicating a Gaussian source over a Gaussian channel under the mean-squared-error (MSE) distortion measure. Unfortunately, its performance is usually inferior to the all-digital, separation-based source-channel coding solution, which requires exact knowledge of the channel at the encoder. The loss comes from the fact that except for very special cases, e.g., white source and channel of matching bandwidth (BW), it is impossible to achieve perfect matching of source to channel and channel to source by linear means. We show that by combining prediction and modulo-lattice operations, it is possible to match any colored Gaussian source to any colored Gaussian noise channel (of possibly different BW), hence achieve Shannon's optimum attainable performance $R(D)=C$. Furthermore, when the source and channel BWs are equal (but otherwise their spectra are arbitrary), this scheme is asymptotically robust in the sense that for high signal-to-noise ratio (SNR) a single encoder (independent of the noise variance) achieves the optimum performance. The derivation is based upon a recent modulo-lattice modulation scheme for transmitting a Wyner–Ziv source over a dirty-paper channel.
机译:模拟(未编码)传输提供了一种简单且健壮的方案,用于在均方误差(MSE)失真度量下通过高斯通道传送高斯源。不幸的是,它的性能通常不如基于数字的基于分离的源通道编码解决方案,后者需要对编码器的通道有确切的了解。损失来自以下事实:除了非常特殊的情况,例如白色源和匹配带宽(BW)的信道外,不可能通过线性方式实现源与信道以及信道与源的完美匹配。我们表明,通过组合预测和模格运算,可以将任何彩色高斯源与任何彩色高斯噪声通道(可能具有不同的带宽)匹配,从而实现香农的最佳可达到性能$ R(D)= C $。此外,当源带宽和通道带宽相等时(但否则它们的频谱是任意的),该方案在渐进式鲁棒性上,即对于高信噪比(SNR),可以使用单个编码器(与噪声方差无关)最佳性能。该推导基于最近的模-格调制方案,该方案用于通过脏纸通道传输Wyner-Ziv源。

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