On the error exponent for woven convolutional codes with outer warps

Viktor V. Zyablov; Sergo Shavgulidze; Oleg Skopintsev; Stefan Höst; Rolf Johannesson

doi:10.1109/18.771237

On the error exponent for woven convolutional codes with outer warps

Viktor V. Zyablov, Sergo Shavgulidze, Oleg Skopintsev, Stefan Höst, Rolf Johannesson

Department of Electrical and Information Technology

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Abstract

In this correspondence the error exponent and the decoding complexity of binary woven convolutional codes with outer warp and with binary convolutional codes as outer and inner codes are studied. It is shown that an error probability that is exponentially decreasing with the product of the outer and inner code memories can be achieved with a nonexponentially increasing decoding complexity

Original language	English
Pages (from-to)	1649-1653
Journal	IEEE Transactions on Information Theory
Volume	45
Issue number	5
DOIs	https://doi.org/10.1109/18.771237
Publication status	Published - 1999

Subject classification (UKÄ)

Electrical Engineering, Electronic Engineering, Information Engineering

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10.1109/18.771237

error00771237

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title = "On the error exponent for woven convolutional codes with outer warps",

abstract = "In this correspondence the error exponent and the decoding complexity of binary woven convolutional codes with outer warp and with binary convolutional codes as outer and inner codes are studied. It is shown that an error probability that is exponentially decreasing with the product of the outer and inner code memories can be achieved with a nonexponentially increasing decoding complexity",

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AU - Zyablov, Viktor V.

AU - Shavgulidze, Sergo

AU - Skopintsev, Oleg

AU - Höst, Stefan

AU - Johannesson, Rolf

PY - 1999

Y1 - 1999

N2 - In this correspondence the error exponent and the decoding complexity of binary woven convolutional codes with outer warp and with binary convolutional codes as outer and inner codes are studied. It is shown that an error probability that is exponentially decreasing with the product of the outer and inner code memories can be achieved with a nonexponentially increasing decoding complexity

AB - In this correspondence the error exponent and the decoding complexity of binary woven convolutional codes with outer warp and with binary convolutional codes as outer and inner codes are studied. It is shown that an error probability that is exponentially decreasing with the product of the outer and inner code memories can be achieved with a nonexponentially increasing decoding complexity

U2 - 10.1109/18.771237

DO - 10.1109/18.771237

M3 - Article

VL - 45

SP - 1649

EP - 1653

JO - IEEE Transactions on Information Theory

JF - IEEE Transactions on Information Theory

SN - 0018-9448

IS - 5

ER -

On the error exponent for woven convolutional codes with outer warps

Abstract

Subject classification (UKÄ)

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