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The circular decoding algorithm for tail-biting convolutional codes is executed using a fixed number of computations and is suitable for DSP/ASIC implementations. This letter presents the performance and complexity trade-off in the circular decoding algorithm using an analytic bound on the error probability. An incremental performance improvement is shown as the complexity increases from *O*(*L*) to *O*(*L*+10*K*) where *L* is the length of the decoding trellis and *K* is the constraint length. The decoding complexity required to produce the maximum-likelihood performance is presented, which is applicable to many codes of practical interest.

- Publication
- IEICE TRANSACTIONS on Communications Vol.E85-B No.5 pp.967-971

- Publication Date
- 2002/05/01

- Publicized

- Online ISSN

- DOI

- Type of Manuscript
- Special Section LETTER (Wireless Communications Issue)

- Category

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Wonjin SUNG, "Performance and Complexity of Circular Decoding for Tail-Biting Convolutional Codes" in IEICE TRANSACTIONS on Communications,
vol. E85-B, no. 5, pp. 967-971, May 2002, doi: .

Abstract: The circular decoding algorithm for tail-biting convolutional codes is executed using a fixed number of computations and is suitable for DSP/ASIC implementations. This letter presents the performance and complexity trade-off in the circular decoding algorithm using an analytic bound on the error probability. An incremental performance improvement is shown as the complexity increases from *O*(*L*) to *O*(*L*+10*K*) where *L* is the length of the decoding trellis and *K* is the constraint length. The decoding complexity required to produce the maximum-likelihood performance is presented, which is applicable to many codes of practical interest.

URL: https://global.ieice.org/en_transactions/communications/10.1587/e85-b_5_967/_p

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@ARTICLE{e85-b_5_967,

author={Wonjin SUNG, },

journal={IEICE TRANSACTIONS on Communications},

title={Performance and Complexity of Circular Decoding for Tail-Biting Convolutional Codes},

year={2002},

volume={E85-B},

number={5},

pages={967-971},

abstract={The circular decoding algorithm for tail-biting convolutional codes is executed using a fixed number of computations and is suitable for DSP/ASIC implementations. This letter presents the performance and complexity trade-off in the circular decoding algorithm using an analytic bound on the error probability. An incremental performance improvement is shown as the complexity increases from *O*(*L*) to *O*(*L*+10*K*) where *L* is the length of the decoding trellis and *K* is the constraint length. The decoding complexity required to produce the maximum-likelihood performance is presented, which is applicable to many codes of practical interest.},

keywords={},

doi={},

ISSN={},

month={May},}

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TY - JOUR

TI - Performance and Complexity of Circular Decoding for Tail-Biting Convolutional Codes

T2 - IEICE TRANSACTIONS on Communications

SP - 967

EP - 971

AU - Wonjin SUNG

PY - 2002

DO -

JO - IEICE TRANSACTIONS on Communications

SN -

VL - E85-B

IS - 5

JA - IEICE TRANSACTIONS on Communications

Y1 - May 2002

AB - The circular decoding algorithm for tail-biting convolutional codes is executed using a fixed number of computations and is suitable for DSP/ASIC implementations. This letter presents the performance and complexity trade-off in the circular decoding algorithm using an analytic bound on the error probability. An incremental performance improvement is shown as the complexity increases from *O*(*L*) to *O*(*L*+10*K*) where *L* is the length of the decoding trellis and *K* is the constraint length. The decoding complexity required to produce the maximum-likelihood performance is presented, which is applicable to many codes of practical interest.

ER -