| Hi-index | 0.00 |
Methods are presented for reducing the table storage required when encoding and decoding with tree-structured vector quantization (TSVQ). The latter is a technique that requires many fewer arithmetic operations than unstructured vector quantization, but at least as much storage. The new methods for reducing storage integrate a secondary quantizer into the design of TSVQ, so as to produce a tree-structure that can be efficiently stored. Two of the techniques make use of the hierarchical nature of TSVQ. The results show that at the expense of a decrease in signal to quantization noise ratio of .3 dB or less, encoder storage can be reduced by a factor of about 10 and decoder storage by about 5. Comparisons are made with the method of codebook sharing.