Vector quantization of a parametric source

Interpreting the problem in terms of statistical risk, an approach is suggested in this paper for quantizing a parametric source with unknown statistics. Unlike universal quantizers, the suggested method achieves its optimal performance on a fixed dimension basis, and can be used to find a quantizer which minimizes the maximum quantization error when a source belongs to a class of parameterized sources.