2013 IEEE International Conference on Acoustics, Speech and Signal Processing 2013
DOI: 10.1109/icassp.2013.6638777
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Embedded Voronoi codes for successive refinement lattice vector quantization

Abstract: Lattice Vector Quantization (LVQ) is an interesting tool in source coding which can take advantage of a higher dimension than the scalar case while overcoming complexity limitations of conventional vector quantization. However, the high dimension and the relatively complex indexing of the codebooks make LVQ often unsuitable for getting a successive refinement of the source. For addressing this problem, the paper proposes a new class of LVQ called the embedded Voronoi codes. The new codes can gradually describe… Show more

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