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IEICE TRANSACTIONS on Fundamentals

A Butterfly Structure for Rate 2/n Convolutional Codes

ChauYun HSU, Tsung Sheng KUO

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Summary :

In this letter, we propose a butterfly structure for rate 2/n convolutional codes to reduce the computational complexity of Viterbi decoders. By using the butterfly structure, the branch metric computation complexity of some best known codes can be reduced by a factor of 2 or 4.

Publication
IEICE TRANSACTIONS on Fundamentals Vol.E89-A No.2 pp.630-632
Publication Date
2006/02/01
Publicized
Online ISSN
1745-1337
DOI
10.1093/ietfec/e89-a.2.630
Type of Manuscript
LETTER
Category
Coding Theory

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