Title :
Linear-Time Nearest Point Algorithms for Coxeter Lattices
Author :
McKilliam, Robby G. ; Smith, Warren D. ; Clarkson, I. Vaughan L
Author_Institution :
Sch. of Inf. Technol. & Electr. Eng., Univ. of Queensland, Brisbane, QLD, Australia
fDate :
3/1/2010 12:00:00 AM
Abstract :
The Coxeter lattices are a family of lattices containing many of the important lattices in low dimensions. This includes An, E 7 , E 8 and their duals An*, E 7*, and E 8*. We consider the problem of finding a nearest point in a Coxeter lattice. We describe two new algorithms, one with worst case arithmetic complexity O(nlogn) and the other with worst case complexity O(n) where n is the dimension of the lattice. We show that for the particular lattices An and An* the algorithms are equivalent to nearest point algorithms that already exist in the literature.
Keywords :
communication complexity; arithmetic complexity; coxeter lattices; linear-time nearest point algorithms; Arithmetic; Australia; Channel coding; Cryptography; Geometry; Helium; Lattices; Maximum likelihood decoding; Quantization; Signal processing algorithms; Channel coding; lattice theory; nearest point algorithm; quantization;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.2009.2039090