Computer Science – Information Theory
Scientific paper
2009-04-05
Computer Science
Information Theory
Scientific paper
In the context of error control in random linear network coding, it is useful to construct codes that comprise well-separated collections of subspaces of a vector space over a finite field. In this paper, the metric used is the so-called "injection distance", introduced by Silva and Kschischang. A Gilbert-Varshamov bound for such codes is derived. Using the code-construction framework of Etzion and Silberstein, new non-constant-dimension codes are constructed; these codes contain more codewords than comparable codes designed for the subspace metric.
Khaleghi Azadeh
Kschischang Frank R.
No associations
LandOfFree
Projective Space Codes for the Injection Metric does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Projective Space Codes for the Injection Metric, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Projective Space Codes for the Injection Metric will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-132571