亚高斯源失匹配矢量量化器的渐近性能评价

Proceedings of 1994 Workshop on Information Theory and Statistics Pub Date : 1994-10-27 DOI:10.1109/WITS.1994.513923

F. Muller

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引用次数: 0

摘要

将渐近(高率)量化理论应用于多变量失配问题。如果将与给定参数的特定源匹配的矢量量化器用于具有不同参数的源的量化，则会丢失多少的问题得到了解决。对于源的参数化，采用了亚高斯过程。

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Asymptotic performance evaluation of mismatched vector quantizers using sub-Gaussian sources

Asymptotic (high rate) quantization theory is applied to the multivariate mismatch problem. The question of how much is lost if a vector quantizer which is matched to a specific source with given parameters is used for quantization of a source with different parameters, is addressed. For parameterization of the sources sub-Gaussian processes are employed.

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Proceedings of 1994 Workshop on Information Theory and Statistics

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