Referenced Items are not available for this document.
The paper describes a structured vector quantization approach for stationary memoryless sources that combines the scalar-vector quantizer (SVQ) ideas (Laroia and Farvardin, 1993) with trellis coded quantization (Marcellin and Fischer, 1990). The resulting quantizer is called the trellis-based scalar-vector quantizer (TB-SVQ). The SVQ structure allows the TB-SVQ to realize a large boundary gain while the underlying trellis code enables it to achieve a significant portion of the total granular gain. For large block-lengths and powerful (possibly complex) trellis codes the TB-SVQ can, in principle, achieve the rate-distortion bound. As indicated by the results obtained, even for reasonable block-lengths and relatively simple trellis codes, the TB-SVQ outperforms all other fixed-rate quantizers at reasonable complexity
Published in:
Information Theory, IEEE Transactions on
(Volume:40
,
Issue:
3
)
Date of Publication: May 1994
- Page(s):
- 860 - 870
- ISSN :
- 0018-9448
- INSPEC Accession Number:
- 4761538
- Digital Object Identifier :
- 10.1109/18.335896
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 06 August 2002
- Issue Date :
- May 1994
- Sponsored by :
- IEEE Information Theory Society
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