[Conference Record] GLOBECOM '92 - Communications for Global Users: IEEE
DOI: 10.1109/glocom.1992.276485
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A fixed-rate product pyramid vector quantization using a Bayesian model

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Cited by 12 publications
(7 citation statements)
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“…The concept has been later applied to other different sources (as Gaussian, , generalized Gaussian, etc.) [2]. Generally, the PVQ can be successfully used for coding -dimensional vector sources where the distribution of entropy is restricted to the sphere (1) 1070-9908/01$10.00 © 2001 IEEE is near the entropy of the uniform distribution on the same sphere.…”
Section: Vector Quantizationmentioning
confidence: 99%
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“…The concept has been later applied to other different sources (as Gaussian, , generalized Gaussian, etc.) [2]. Generally, the PVQ can be successfully used for coding -dimensional vector sources where the distribution of entropy is restricted to the sphere (1) 1070-9908/01$10.00 © 2001 IEEE is near the entropy of the uniform distribution on the same sphere.…”
Section: Vector Quantizationmentioning
confidence: 99%
“…The most important part of PVQ schemes is an enumerative bijective mapping (3) which uniquely determines the codeword with length . It can be implemented by the recursive calculation of pyramid numbers [3], i.e., with 1 for all and 0 the is determined by (4) Let be defined as the number of pyramid points on all spheres with a radius not greater than , i.e., number of points in with (5) A can be calculated recursively [2], for fixed by (6) and for fixed by (7) with 1, 2 1, 1, 2 1, and 0 for each 0, 0. Finally, a fast coding and decoding PVQ algorithm for the points of a given pyramid encoding vector with an index can be calculated using the following algorithm.…”
Section: Vector Quantizationmentioning
confidence: 99%
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