A neural vector quantizer
Ziwei Wang, J. Hanson · 2003
A technique of vector quantization based on neural networks called neural vector quantization is investigated. A neural vector quantizer has been developed for data compression and is capable of faster parallel quantization than conventional vector quantizers. The architecture, dynamics, and training strategies are presented. Neural vector quantizers are designed and simulated for Gauss-Markov source data, and the resulting performance, computation, and storage requirements are compared to those for neural vector quantizers of different sizes for the same task and data sources.>