Accession Number:

ADA156122

Title:

Pruned Error-Trellis Decoding of Certain Non-Systematic Convolutional Codes.

Descriptive Note:

Quarterly rept. no. 1,

Corporate Author:

ADAPTIVE SENSORS INC SANTA MONICA CA

Personal Author(s):

Report Date:

1984-12-31

Pagination or Media Count:

34.0

Abstract:

In this report, pruned error-trellis decoding of systematic and nonsystematic convolutional codes with a delay-free inverse has been developed in detail, including quantitative formulas for the number of states and transitions which remain in the pruned error trellis. Currently, the problem of trellis pruning of other non-systematic CCs is being investigated. Finally, the reduced hardware requirements for pruned error-trellis decoding versus standard Viterbi decoding is being studied, and a preliminary architecture has already been found for the dual-K decoding algorithm developed in this report. Author

Subject Categories:

  • Cybernetics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE