• DocumentCode
    1632294
  • Title

    Frames, group codes, and subgroups of (Z/pZ)×

  • Author

    Thill, Markus ; Hassibi, Babak

  • Author_Institution
    Dept. of Electr. Eng., California Inst. of Technol., Pasadena, CA, USA
  • fYear
    2012
  • Firstpage
    1182
  • Lastpage
    1189
  • Abstract
    The problem of designing low coherence matrices and low-correlation frames arises in a variety of fields, including compressed sensing, MIMO communications and quantum measurements. The challenge is that one must control the (n2) pairwise inner products of the columns of the matrix. In this paper, we follow the group code approach of David Slepian [1], which constructs frames using unitary group representations and which in general reduces the number of distinct inner products to n-1. When n is a prime p, we present a carefully chosen representation which reduces the number of distinct inner products further to n-1/m, where m is the number of rows in the matrix. The resulting frames have superior performance to many earlier frame constructions and, in some cases, yield frames with optimally low coherence. We further expand a connection between frames and difference sets noted first in [2] to find bounds on the coherence when n-1/m = 2 and 3.
  • Keywords
    group codes; group theory; matrix algebra; David Slepian; MIMO communications; compressed sensing; group codes; low coherence matrices; low-correlation frames; pairwise inner products; quantum measurements; subgroups; unitary group representations; Coherence; Compressed sensing; Equations; Generators; Harmonic analysis; Indexes; Vectors; Grassmannian frame; Matrix coherence; compressed sensing; frame; group; unit norm tight frame; unitary system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication, Control, and Computing (Allerton), 2012 50th Annual Allerton Conference on
  • Conference_Location
    Monticello, IL
  • Print_ISBN
    978-1-4673-4537-8
  • Type

    conf

  • DOI
    10.1109/Allerton.2012.6483352
  • Filename
    6483352