Asymptotic Performance of Vector Quantizers with a Perceptual Distortion Measure

@article{Li1999AsymptoticPO,
  title={Asymptotic Performance of Vector Quantizers with a Perceptual Distortion Measure},
  author={Jia Li and Navin Chaddha and Robert M. Gray},
  journal={IEEE Trans. Information Theory},
  year={1999},
  volume={45},
  pages={1082-1091}
}
Gersho’s bounds on the asymptotic performance of vector quantizers are valid for vector distortions which are powers of the Euclidean norm. Yamada, Tazaki, and Gray generalized the results to distortion measures that are increasing functions of the norm of their argument. In both cases, the distortion is uniquely determined by the vector quantization error, i.e., the Euclidean difference between the original vector and the codeword into which it is quantized. We generalize these asymptotic… CONTINUE READING
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