Abstract
There is no better way to quantize a single vector than to use VQ with a codebook that is optimal for the probability distribution describing the random vector. However, direct use of VQ suffers from a serious complexity barrier that greatly limits its practical use as a complete and self-contained coding technique
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© 1992 Springer Science+Business Media New York
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Gersho, A., Gray, R.M. (1992). Constrained Vector Quantization. In: Vector Quantization and Signal Compression. The Springer International Series in Engineering and Computer Science, vol 159. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-3626-0_12
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DOI: https://doi.org/10.1007/978-1-4615-3626-0_12
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-6612-6
Online ISBN: 978-1-4615-3626-0
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