Vector quantization method and apparatus

Coded data generation or conversion – Digital code to digital code converters – Coding by table look-up techniques

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358133, H03M 700

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active

051948648

ABSTRACT:
In a vector quantization method and apparatus of the invention, in the network learning step, learning is performed such that output units corresponding to the indexes of a plurality of code book vectors Yi are caused to ignite more as the output units are located nearer to an input vector. The search order is determined such that the code book vectors are searched in the order of the indexes corresponding to the decreasing magnitudes of ignition from the output units. In the strain calculation step, the strains between the code book vectors Yi selected in the determined order and the input vector X are calculated in units of dimensions. The current partial sum of strains is compared with the minimum stain. If the partial sum is larger than the minimum strain, the subsequent strain calculation is interrupted.

REFERENCES:
patent: 4326259 (1982-04-01), Cooper et al.
patent: 4727354 (1988-02-01), Lindsay
patent: 5010574 (1991-04-01), Wang
Article entitled "Learning Representations by Back-Propagating Errors" by David E. Rumelhart, et al., published in Nature, vol. 323-9 pp. 533-536, 1986, (p. 533 enclosed only).

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