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Quantizers with uniform decoders and channel-optimized encoders

机译:具有统一解码器和通道优化编码器的量化器

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Scalar quantizers with uniform decoders and channel-optimized encoders are studied for a uniform source on [0,1] and binary symmetric channels. Two families of affine index assignments are considered: the complemented natural code (CNC), introduced here, and the natural binary code (NBC). It is shown that the NBC never induces empty cells in the quantizer encoder, whereas the CNC can. Nevertheless, we show that the asymptotic distributions of quantizer encoder cells for the NBC and the CNC are equal and are uniform over a proper subset of the source's support region. Empty cells act as a form of implicit channel coding. An effective channel code rate associated with a quantizer designed for a noisy channel is defined and computed for the codes studied. By explicitly showing that the mean-squared error (MSE) of the CNC can be strictly smaller than that of the NBC, we also demonstrate that the NBC is suboptimal for a large range of transmission rates and bit error probabilities. This contrasts with the known optimality of the NBC when either both the encoder and decoder are not channel optimized, or when only the decoder is channel optimized.
机译:针对具有[0,1]和二进制对称信道的统一源,研究了具有统一解码器和通道优化编码器的标量量化器。考虑了两个仿射索引分配家族:此处介绍的互补自然代码(CNC)和自然二进制代码(NBC)。结果表明,NBC不会在量化编码器中引起空单元,而CNC可以。但是,我们显示NBC和CNC的量化编码器单元的渐近分布在源的支持区域的适当子集上相等且均匀。空单元格是隐式通道编码的一种形式。为研究的代码定义和计算与为噪声信道设计的量化器相关的有效信道代码率。通过明确显示CNC的均方误差(MSE)可以严格小于NBC的均方误差,我们还证明了NBC对于大范围的传输速率和误码率而言不是最优的。当编码器和解码器均未进行信道优化时,或者仅解码器进行信道优化时,这与NBC的已知最优性形​​成对比。

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