A computer search algorithm for optimum free distance binary convolutional codes./
By: Palines, Herbert S.
Contributor(s): Sison, Virgilio P.
Description: vol. 7, 4 tables, refs, appendix.ISSN: 1908-1995.Other title: Philippine Computing Journal.Subject(s): CONVOLUTIONAL CODES | COLUMN DISTANCE | ROW DISTANCE | FREE DISTANCE | DISTANCE PROFILE | GRIESMER BOUNDDDC classification: 050/P17 Summary: A computer search algorithm for optimum free distance (OFD) binary convolutional codes is presented. The algorithm obtains polynomial encoders for rate-1/2 and rate-2/4 OFD binary convolutional codes. For rate-1/2 OFD binary convolutional codes, the search is done for memory 1,2,3,4 and 5 and having Hamming free distances dfree equal to 4,5,6,7 and 8, respectively. Minimal-basic encoders are also derived. The encoders for rate-2/4 OFD binary convolutional codes have memory 2 and dfree - 8 and all are minimal-basic. The resulting codes meet the Griesmer's upper bound on the free distance.| Item type | Current location | Collection | Call number | Status | Date due | Barcode |
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A computer search algorithm for optimum free distance (OFD) binary convolutional codes is presented. The algorithm obtains polynomial encoders for rate-1/2 and rate-2/4 OFD binary convolutional codes. For rate-1/2 OFD binary convolutional codes, the search is done for memory 1,2,3,4 and 5 and having Hamming free distances dfree equal to 4,5,6,7 and 8, respectively. Minimal-basic encoders are also derived. The encoders for rate-2/4 OFD binary convolutional codes have memory 2 and dfree - 8 and all are minimal-basic. The resulting codes meet the Griesmer's upper bound on the free distance.
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