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IEICE TRANSACTIONS on Fundamentals

Granular Gain of Low-Dimensional Lattices from Binary Linear Codes

Misako KOTANI, Shingo KAWAMOTO, Motohiko ISAKA

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Summary :

Granular gain of low-dimensional lattices based on binary linear codes is estimated using a quantization algorithm which is equivalently a soft-decision decoding of the underlying code. It is shown that substantial portion of the ultimate granular gain is achieved even in limited dimensions.

Publication
IEICE TRANSACTIONS on Fundamentals Vol.E95-A No.12 pp.2168-2170
Publication Date
2012/12/01
Publicized
Online ISSN
1745-1337
DOI
10.1587/transfun.E95.A.2168
Type of Manuscript
Special Section LETTER (Special Section on Information Theory and Its Applications)
Category
Coding Theory

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