Digital Signal Processing
Efficient product code vector quantisation using the switched split vector quantiser
Digital Signal Processing
Multi-dimensional mechanism design with limited information
Proceedings of the 13th ACM Conference on Electronic Commerce
| Hi-index | 754.84 |
The authors consider how much performance advantage a fixed-dimensional vector quantizer can gain over a scalar quantizer. They collect several results from high-resolution or asymptotic (in rate) quantization theory and use them to identify source and system characteristics that contribute to the vector quantizer advantage. One well-known advantage is due to improvement in the space-filling properties of polytopes as the dimension increases. Others depend on the source's memory and marginal density shape. The advantages are used to gain insight into product, transform, lattice, predictive, pyramid, and universal quantizers. Although numerical prediction consistently overestimated gains in low rate (1 bit/sample) experiments, the theoretical insights may be useful even at these rates