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Self-organizing codebooks for trellis-coded VQ
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DOI：10.1109/LSP.2002.806042.png)
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摘要
En 中文
Because of its computational complexity, vector quantization (VQ) can work only on relatively small vectors, which severely limits its encoding performance. Trellis-coded VQ (TCVQ) circumvents this problem by using VQ in combination with a trellis encoding strategy, thus treating very large blocks of data at once. TCVQ is based on a size-N VQ codebook which is recursively partitioned to form two (possibly nearly optimal) codebooks of size N/2, four of size N/4, etc. Here we show that such a tree of codebooks can be easily designed, without the need of any postprocessing, by means of the Kohonen algorithm. Numerical, experiments show the effectiveness of the proposed approach.
Keyword:
data compression
Kohonen algorithm
ordered codebooks
trellis-coded vector quantization (TCVQ)
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9.6
论文数:
1.1W
被引数:
1.7W
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