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On the complexity of Unary Error Correction codes for the near-capacity transmission of symbol values from an infinite set

机译:关于无限容量符号值的近容量传输的一元纠错码的复杂性

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Unary Error Correction (UEC) codes have recently been proposed for the near-capacity Joint Source and Channel Coding (JSCC) of symbol values that are selected from a set having an infinite cardinality. In this paper, we characterize the computational complexity of UEC decoders and use complexity analysis for striking a desirable trade-off between the contradictory requirements of low complexity and near-capacity operation. We investigate a wide range of application scenarios and offer a deep insight into their beneficial parameterizations. In particular, we introduce puncturing for controlling the scheme's throughput and for facilitating fair comparisons with a Separate Source and Channel Coding (SSCC) benchmarker. The UEC scheme is found to offer almost 1.3 dB gain, when operating within 1.6 dB of the capacity bound. This is achieved without any increase in transmission energy, bandwidth, transmit duration or decoding complexity.
机译:最近,针对从具有无限基数的集合中选择的符号值的近容量联合源和信道编码(JSCC),提出了一元纠错(UEC)码。在本文中,我们描述了UEC解码器的计算复杂度,并使用复杂度分析在低复杂度和近容量操作的矛盾要求之间达成理想的折衷。我们研究了广泛的应用场景,并对它们的有益参数化提供了深入的了解。尤其是,我们引入了删余来控制方案的吞吐量,并促进使用单独的源和信道编码(SSCC)标定程序进行公平的比较。当在容量限制的1.6 dB之内运行时,UEC方案可提供近1.3 dB的增益。这是在不增加传输能量,带宽,传输持续时间或解码复杂性的情况下实现的。

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