Computer Science – Information Theory
Scientific paper
2011-07-19
Computer Science
Information Theory
17 pages, submitted to the IEEE Transactions on Information Theory
Scientific paper
Mathematical programming is a branch of applied mathematics and has recently been used to derive new decoding approaches, challenging established but often heuristic algorithms based on iterative message passing. Concepts from mathematical programming used in the context of decoding include linear, integer, and nonlinear programming, network flows, notions of duality as well as matroid and polyhedral theory. This survey article reviews and categorizes decoding methods based on mathematical programming approaches for binary linear codes over binary-input memoryless symmetric channels.
Helmling Michael
Ruzika Stefan
Tanatmis Akin
No associations
LandOfFree
Mathematical Programming Decoding of Binary Linear Codes: Theory and Algorithms 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 Mathematical Programming Decoding of Binary Linear Codes: Theory and Algorithms, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Mathematical Programming Decoding of Binary Linear Codes: Theory and Algorithms will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-514660