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Upper bounds on trellis complexity of lattices

Publication ,  Conference
Tarokh, V; Vardy, A
Published in: IEEE International Symposium on Information Theory Proceedings
December 1, 1997

Unlike block codes, n-dimensional lattices can have minimal trellis diagrams with an arbitrarily large number of states, branches, and paths. We show by a counter-example that there is no f(n), a function of n, such that all rational lattices of dimension n have a trellis with less than f(n) states. Nevertheless, we prove that if Λ is a sublattice of Zn then it has a trellis T, such that the maximum number of states in T is upper bounded by the volume of Λ. Furthermore, using a theorem due to Hermite, we show that every integral lattice Λ has a trellis T, such that the total number of paths in T can be bounded from above in terms of the volume of Λ. The resulting bounds are exponential in the dimension n and are seldom tight. Nonetheless, these are the first known general upper bounds on trellis complexity of lattices. © 1997 IEEE.

Duke Scholars

Published In

IEEE International Symposium on Information Theory Proceedings

DOI

ISSN

2157-8095

Publication Date

December 1, 1997

Start / End Page

385
 

Citation

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Tarokh, V., & Vardy, A. (1997). Upper bounds on trellis complexity of lattices. In IEEE International Symposium on Information Theory Proceedings (p. 385). https://doi.org/10.1109/ISIT.1997.613322
Tarokh, V., and A. Vardy. “Upper bounds on trellis complexity of lattices.” In IEEE International Symposium on Information Theory Proceedings, 385, 1997. https://doi.org/10.1109/ISIT.1997.613322.
Tarokh V, Vardy A. Upper bounds on trellis complexity of lattices. In: IEEE International Symposium on Information Theory Proceedings. 1997. p. 385.
Tarokh, V., and A. Vardy. “Upper bounds on trellis complexity of lattices.” IEEE International Symposium on Information Theory Proceedings, 1997, p. 385. Scopus, doi:10.1109/ISIT.1997.613322.
Tarokh V, Vardy A. Upper bounds on trellis complexity of lattices. IEEE International Symposium on Information Theory Proceedings. 1997. p. 385.

Published In

IEEE International Symposium on Information Theory Proceedings

DOI

ISSN

2157-8095

Publication Date

December 1, 1997

Start / End Page

385