UNIVERSAL SOURCE-CODING WITH CODEBOOK TRANSMISSION

A universal source coding system with vector quantizer codebook transm issions is studied using high resolution quantization theory. Conditio ns are derived for the optimal tradeoff between quantizer resolution a nd the information rate used to transmit codebooks. A formula that tig htly bounds the mean squared error of the universal coding system as a function or the time between codebook transmissions is experimentally verified and found to be light, and a new and simpler derivation is g iven. Other research in the literature has proposed vector quantizing the transmitted codebooks; one conclusion we prove here is that under some reasonable conditions uniform scalar quantization of the transmit ted codebooks performs as well as vector quantizing than. Experimental results are given that support the analytic derivations.