Strongly-MDS convolutional codes

被引：104

作者：

Gluesing-Luerssen, H ^{[1
]}

Rosenthal, J

Smarandache, R

机构：

[1] Univ Groningen, Dept Math, NL-9700 AV Groningen, Netherlands

[2] Univ Zurich, Dept Math, CH-8057 Zurich, Switzerland

[3] San Diego State Univ, Dept Math & Stat, San Diego, CA 92182 USA

来源：

IEEE TRANSACTIONS ON INFORMATION THEORY | 2006年 / 52卷 / 02期

关键词：

column distances; convolutional codes; extended row distances; maximum-distance separable (MDS) codes; super-regular matrices; unit memory codes;

D O I：

10.1109/TIT.2005.862100

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Maximum-distance separable (MDS) convolutional codes have the property that their free distance is maximal among all codes of the same rate and the same degree. In this paper, a class of MDS convolutional codes is introduced whose column distances reach the generalized Singleton bound at the earliest possible instant. Such codes are called strongly-MDS convolutional codes. They also have a maximum or near-maximum distance profile. The extended row distances of these codes will also be discussed briefly.

引用

页码：584 / 598

页数：15

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