Parametric Lattices Are Better Quantizers in Dimensions 13 and 14

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Authors: Daniel Pook-Kolb, Erik Agrell, B. Allen
Cited by: 0

Abstract

New lattice quantizers with lower normalized second moments than previously reported are constructed in 13 and 14 dimensions and conjectured to be optimal. Our construction combines an initial numerical optimization with a subsequent analytical optimization of families of lattices, whose Voronoi regions are constructed exactly. The new lattices are constructed from glued products of previously known lattices, by scaling the component lattices and then optimizing the scale factors. A two-parameter family of lattices in 13 dimensions reveals an intricate landscape of phase changes as the parameters are varied.

Fields of Study & Subjects

Metaheuristic Optimization Algorithms Research

Publication details

Journal / source
IEEE Transactions on Information Theory
Pages
1–1
Publication date
1 January 2026
Language
EN