Method of efficient branch metric computation for a Viterbi conv

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371 431, 371 436, 371 438, 371 374, 371 378, 375341, 375262, 341200, G06F 1110

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059129085

ABSTRACT:
A method of efficient branch metric computation for a Viterbi convolutional decoder wherein a reduced and optimized set of branch metrics is distributed among one or more base sets is provided. A sequence of data transformations and associations are defined according to the connections of the delay elements in the convolutional encoder to its outputs. Each encoder state is associated with one of the base sets and one of several groups of path metric equations. During the add portion of the add-compare-select phase of Viterbi decoding, a branch metric value is extracted from the base set associated with the encoder state being evaluated. The group of path metric equations associated with state being evaluated are evaluated using the extracted branch metric value. The results of the addition are then be processed according to the remaining steps of the Viterbi algorithm.

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