Large Families of “Grey” Arrays with Perfect Auto-correlation and Optimal Cross-Correlation

Matthew Ceko, Imants Svalbe, Timothy Petersen, Andrew Tirkel

Research output: Contribution to journalArticleResearchpeer-review

3 Citations (Scopus)

Abstract

Large sets of distinct 2D arrays of variable size that possess both strong auto-correlation and weak cross-correlation properties are highly valuable in many imaging and communications applications. We use the discrete Finite Radon Transform to construct p× p arrays with “perfect” correlation properties, for any prime p. Array elements are restricted to the integers { 0 , ± 1 , + 2 }. Each array exhibits perfect periodic auto-correlation, having peak correlation value p2, with all off-peak values being exactly zero. Each array contains just 3 (p- 1) / 2 zero elements, the minimum number possible using this alphabet. Large families with size M= p2- 1 of such arrays can be constructed. Each of the M(M- 1) / 2 intra-family periodic cross-correlations is guaranteed to have one of the three lowest possible merit factors. These family size M can be extended to multiples of p2- 1 if we permit more than the three lowest cross-correlation levels.

Original languageEnglish
Pages (from-to)237-248
Number of pages12
JournalJournal of Mathematical Imaging and Vision
Volume61
Issue number2
DOIs
Publication statusPublished - 15 Feb 2019

Keywords

  • Discrete projection
  • Finite Radon transform
  • Low correlation arrays
  • Perfect arrays

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