1998•IEEE Transactions on Information TheoryRequires access

Te "art of trellis decoding" is computationally hard-for large fields

Kamal Kishore Jain, I. Mandoin, Vijay V. Vazirani

Open publisher page 9 citations

Abstract

The problem of minimizing the trellis complexity of a code by coordinate permutation is studied. Three measures of trellis complexity are considered: the total number of states, the total number of edges, and the maximum state complexity of the trellis. The problem is proven NP-hard for all three measures, provided the field over which the code is specified is not fixed. We leave open the problem of dealing with the case of a fixed field, in particular GF(2).

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The problem of minimizing the trellis complexity of a code by coordinate permutation is studied. Three measures of trellis complexity are considered: the total number of states, the total number of edges, and the maximum state complexity of the trellis. The problem is proven NP-hard for all three measures, provided the field over which the code is specified is not fixed. We leave open the problem of dealing with the case of a fixed field, in particular GF(2).

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Available abstract

The problem of minimizing the trellis complexity of a code by coordinate permutation is studied. Three measures of trellis complexity are considered: the total number of states, the total number of edges, and the maximum state complexity of the trellis. The problem is proven NP-hard for all three measures, provided the field over which the code is specified is not fixed. We leave open the problem of dealing with the case of a fixed field, in particular GF(2).

Key concepts: Trellis (graph), Space–time trellis code, Decoding methods, Permutation (music), Computational complexity theory, Convolutional code, Mathematics, Code (set theory)

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