期刊名称:International Journal of Applied Mathematics and Computer Science
电子版ISSN:2083-8492
出版年度:2019
卷号:29
期号:3
页码:1-13
DOI:10.2478/amcs-2019-0039
出版社:De Gruyter Open
摘要:It is well known that convolutional codes are linear systems when they are defined over a finite field. A fundamental issue
in the implementation of convolutional codes is to obtain a minimal state representation of the code. Compared with the
literature on one-dimensional (1D) time-invariant convolutional codes, there exist relatively few results on the realization
problem for time-varying 1D convolutional codes and even fewer if the convolutional codes are two-dimensional (2D). In
this paper we consider 2D periodic convolutional codes and address the minimal state space realization problem for this
class of codes. This is, in general, a highly nontrivial problem. Here, we focus on separable Roesser models and show
that in this case it is possible to derive, under weak conditions, concrete formulas for obtaining a 2D Roesser state space
representation. Moreover, we study minimality and present necessary conditions for these representations to be minimal.
Our results immediately lead to constructive algorithms to build these representations.