Novel scarce-state-transition syndrome-former error-trellis decoding of (n,n-1) convolutional codes

L. H Charles Lee*, David J. Tait, Patrick G. Farrell, Paul S C Leung

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

2 Citations (Scopus)

Abstract

A novel maximum-likelihood hard- and 8-level soft-decision scarce-state-transition (SST) type syndrome-former error-trellis decoding system of (n,n-1) convolutional codes with coherent BPSK signals for additive white Gaussian noise channels is proposed. The proposed system retains the same number of binary comparisons as the syndrome-former trellis decoding method of Yamada et al. [2]. Like the original SST-type register-exchange Viterbi decoding system [4], the proposed system also has the same advantage of drawing less power when implemented on CMOS LSI chips. A combination of the two techniques results a less complex and low power consumption decoding system.

Original languageEnglish
Title of host publicationIEEE International Symposium on Information Theory - Proceedings
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages219
Number of pages1
Publication statusPublished - 1995
EventProceedings of the 1995 IEEE International Symposium on Information Theory - Whistler, BC, Can
Duration: 17 Sep 199522 Sep 1995

Other

OtherProceedings of the 1995 IEEE International Symposium on Information Theory
CityWhistler, BC, Can
Period17/09/9522/09/95

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