Vector quantization and signal compression
Vector quantization and signal compression
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Address predictive vector quantization is a recently proposed compression technique which exploits the residual redundancy among vector-quantized blocks by jointly encoding their VQ-addresses. It provides a substantially higher compression than memoryless full-search VQ, for the same reconstruction quality and computation/memory complexity. The performance is strongly dependent on the codebook ordering, namely the assignement of addresses to codevectors. In this paper, several ordering procedures are proposed and their performances, in terms of resulting coding efficiency, are analyzed via computer simulations.