网格编码量化

1999 IEEE Workshop on Speech Coding Proceedings. Model, Coders, and Error Criteria (Cat. No.99EX351) Pub Date : 1999-06-20 DOI:10.1109/SCFT.1999.781487

T. Fischer

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引用次数: 1

摘要

网格编码量化(TCQ)是多维量化的一种有效形式，它可以实现向量量化所承诺的部分可能的点密度、空间填充和颗粒增益。对于无记忆源，TCQ和合适的熵码的组合可以提供在速率失真极限0.5 dB以内的性能。

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Trellis coded quantization

Trellis coded quantization (TCQ) is an efficient form of multidimensional quantization that achieves portions of the possible point density, space filling, and granular gains promised by vector quantization. For memoryless sources, the combination of TCQ and a suitable entropy code can provide performance within 0.5 dB of the rate-distortion limit.

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来源期刊

1999 IEEE Workshop on Speech Coding Proceedings. Model, Coders, and Error Criteria (Cat. No.99EX351)

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