Predictive vector quantization
A. Haoui, David G. Messerschmitt · 2005
A proposed class of vector quantizers with memory, called Predictive Vector Quantizers (PVQ), exhibits good performance (as measured by mean-squared error distortion) for the encoding of speech signals at 16 kbits/sec. Two methods for designing PVQ's are described, and their performance is compared to that of memoryless VQ's by computer simulation. These results indicate that, for comparable performance, the PVQ has a smaller block size and computational load than the memoryless VQ. In addition, preliminary simulations indicate that PVQ's are less speaker dependent than memoryless vector quantizers.