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- W2536749215 abstract "Vector quantization is decoded using a Bayes estimator. The hard-decision Bayes estimator is used to reduce the complexity involving the evaluation of transition probabilities for the soft-decision Bayes estimator. In the range of low to moderate average channel signal-to-noise ratio, the hard-decision Bayes estimator based source decoder can achieve more than 1 dB improvement over the conventional mapping based source decoder. With great reduction in complexity, the hard-decision Bayes estimator can achieve a performance that is just about 0.4 dB below the optimal soft-decision Bayes estimator." @default.
- W2536749215 created "2016-10-28" @default.
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- W2536749215 date "2002-11-27" @default.
- W2536749215 modified "2023-09-28" @default.
- W2536749215 title "Hard-decoding vector quantization using Bayes estimator for Rayleigh channel" @default.
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- W2536749215 doi "https://doi.org/10.1109/issse.1998.738099" @default.
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