Channel-adaptive scaled vector quantization (CASVQ) for low-cost approximation of COVQ on time-varying channels

Channel-optimized vector quantization (COVQ) achieves strong quality-improvements over "normal" VQ if the transmission channel is noisy. The problem addressed in this paper is how to limit the memory and complexity requirements on time-varying channels to the extent known from "normal" VQ, with a performance close to that of optimally matched COVQ for all channel conditions.