Matrix Theory for Minimal Trellises
Iwan M. Duursma

TL;DR
This paper introduces a unique reduced minimal span form and characteristic matrix for matrices, revealing new properties and dualities that clarify the structure of minimal trellises and their constructions.
Contribution
It defines a unique reduced minimal span form and characteristic matrix, establishing duality conditions and properties that unify different trellis construction methods.
Findings
Characteristic matrices are in duality iff their column spaces are orthogonal.
The transpose of a characteristic matrix is characteristic iff it is reduced.
Confirmed Koetter and Vardy's conjecture on lexicographical ordering in dual matrices.
Abstract
Trellises provide a graphical representation for the row space of a matrix. The product construction of Kschischang and Sorokine builds minimal conventional trellises from matrices in minimal span form. Koetter and Vardy showed that minimal tail-biting trellises can be obtained by applying the product construction to submatrices of a characteristic matrix. We introduce the unique reduced minimal span form of a matrix and we obtain an expression for the unique reduced characteristic matrix. Among new properties of characteristic matrices we prove that characteristic matrices are in duality if and only if they have orthogonal column spaces, and that the transpose of a characteristic matrix is again a characteristic matrix if and only if the characteristic matrix is reduced. These properties have clear interpretations for the unwrapped unit memory convolutional code of a tail-biting…
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Taxonomy
TopicsCoding theory and cryptography · graph theory and CDMA systems · Cellular Automata and Applications
