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

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 proceeding › Conference proceeding contribution › peer-review

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 language	English
Title of host publication	IEEE International Symposium on Information Theory - Proceedings
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	219
Number of pages	1
Publication status	Published - 1995
Event	Proceedings of the 1995 IEEE International Symposium on Information Theory - Whistler, BC, Can Duration: 17 Sept 1995 → 22 Sept 1995

Other

Other	Proceedings of the 1995 IEEE International Symposium on Information Theory
City	Whistler, BC, Can
Period	17/09/95 → 22/09/95

Cite this

@inproceedings{e78f3278ac0240ebbeadaa880fb89cf5,

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

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.",

author = "Lee, {L. H Charles} and Tait, {David J.} and Farrell, {Patrick G.} and Leung, {Paul S C}",

year = "1995",

language = "English",

pages = "219",

booktitle = "IEEE International Symposium on Information Theory - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

note = "Proceedings of the 1995 IEEE International Symposium on Information Theory ; Conference date: 17-09-1995 Through 22-09-1995",

}

Lee, LHC, Tait, DJ, Farrell, PG & Leung, PSC 1995, Novel scarce-state-transition syndrome-former error-trellis decoding of (n,n-1) convolutional codes. in IEEE International Symposium on Information Theory - Proceedings. Institute of Electrical and Electronics Engineers (IEEE), pp. 219, Proceedings of the 1995 IEEE International Symposium on Information Theory, Whistler, BC, Can, 17/09/95.

Novel scarce-state-transition syndrome-former error-trellis decoding of (n,n-1) convolutional codes. / Lee, L. H Charles; Tait, David J.; Farrell, Patrick G. et al.
IEEE International Symposium on Information Theory - Proceedings. Institute of Electrical and Electronics Engineers (IEEE), 1995. p. 219.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

TY - GEN

T1 - Novel scarce-state-transition syndrome-former error-trellis decoding of (n,n-1) convolutional codes

AU - Lee, L. H Charles

AU - Tait, David J.

AU - Farrell, Patrick G.

AU - Leung, Paul S C

PY - 1995

Y1 - 1995

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=0029182430&partnerID=8YFLogxK

M3 - Conference proceeding contribution

AN - SCOPUS:0029182430

SP - 219

BT - IEEE International Symposium on Information Theory - Proceedings

PB - Institute of Electrical and Electronics Engineers (IEEE)

T2 - Proceedings of the 1995 IEEE International Symposium on Information Theory

Y2 - 17 September 1995 through 22 September 1995

ER -

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

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