Correlation Minimizing Frames in Small Dimensions
classification
🧮 math.FA
keywords
framescorrelationdimensionsminimizingsmallvectorsbegincatalog
read the original abstract
A uniform tight frame of N vectors for a d dimensional space is correlation minimizing if among all such frames it is as "nearly" orthogonal as possible, i.e., it minimizes the maximal inner product of unequal vectors. In this paper we begin to catalog these frames for small dimensions, in particular, d=3.
This paper has not been read by Pith yet.
discussion (0)
Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.