Title
State space realizations and monomial equivalence for convolutional codes
Abstract
We will study convolutional codes with the help of state space realizations. It will be shown that two such minimal realizations belong to the same code if and only if they are equivalent under the full state feedback group. This result will be used in order to prove that two codes with positive Forney indices are monomially equivalent if and only if they share the same adjacency matrix. The adjacency matrix is an invariant of the code obtained via a minimal state space realization and counts in a detailed way the weights of all possible outputs. It contains full information about the weights of the codewords in the given code.
Year
DOI
Venue
2006
10.1016/j.laa.2007.03.004
Linear Algebra and its Applications
Keywords
Field
DocType
94B10,94B05,93B15,93B20
Adjacency matrix,Discrete mathematics,Concatenated error correction code,Combinatorics,Convolutional code,Equivalence (measure theory),Linear code,Monomial,Minimal realization,State space,Mathematics
Journal
Volume
Issue
ISSN
425
2
0024-3795
Citations 
PageRank 
References 
6
0.51
11
Authors
2
Name
Order
Citations
PageRank
Heide Gluesing-Luerssen16912.81
Gert Schneider260.51