Empirical quantizer design in the presence of source noise or channel noise

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Empirical quantizer design in the presence of source noise or channel noise

The problem of vector quantizer empirical design for noisy channels or for noisy sources is studied. It is shown that the average squared distortion of a vector quantizer designed optimally from observing clean independent and identically distributed (i.i.d.) training vectors converges in expectation, as the training set size grows, to the minimum possible mean-squared error obtainable for quan...

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Empirical Quantizer Design in the Presence of Source Noise or Channel Noise - Information Theory, IEEE Transactions on

The problem of vector quantizer empirical design for noisy channels or for noisy sources is studied. It is shown that the average squared distortion of a vector quantizer designed optimally from observing clean independent and identically distributed (i.i.d.) training vectors converges in expectation, as the training set size grows, to the minimum possible mean-squared error obtainable for quan...

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ژورنال

عنوان ژورنال: IEEE Transactions on Information Theory

سال: 1997

ISSN: 0018-9448

DOI: 10.1109/18.556117