具有最大似然解码的稳健标量量化的盒中青蛙索引码

International Symposium onInformation Theory, 2004. ISIT 2004. Proceedings. Pub Date : 2004-06-27 DOI:10.1109/ISIT.2004.1365464

Ilju Na, D. Neuhoff

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引用次数: 1

摘要

当使用最大似然(ML)解码代替最佳MMSE解码时，对盒中蛙(FIB)代码索引分配的性能进行了数值研究。具体来说，再现级别被选择为将用于无噪声通道的级别，解码器只是将通道输出映射到索引码字最接近通道输出的级别。

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Frog-in-the-box index codes with maximum likelihood decoding for robust scalar quantization

The performance of frog-in-the box (FIB) code index assignments is numerically investigated when maximum likelihood (ML) decoding is used in place of optimal MMSE decoding. Specifically, the reproduction levels are chosen to be those that would be used for a noiseless channel, and the decoder simply maps the channel output to a level whose index codeword is closest to the channel output.

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International Symposium onInformation Theory, 2004. ISIT 2004. Proceedings.

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