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Implementation of a fast codebook searching algorithm using a neural-network model

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2 Author(s)
F. Mekuria ; Dept. of Electr. Eng., Linkoping Univ., Sweden ; T. Fjallbrant

The design of a fast codebook searching algorithm using a neural network perceptron model is described. The design of the codebook containing the optimal number of representative vectors incorporates a tree structure with a modified perceptron neuron at each node. The proposed algorithm reduces the computational requirements compared to the full-search and tree-search algorithm and requires less memory than the tree-search algorithm. The implementation of a neural vector pattern matching system using the tree-searched neural vector quantisation algorithm as a building block is discussed briefly

Published in:

Circuits and Systems, 1990., IEEE International Symposium on

Date of Conference:

1-3 May 1990