Two-dimensional spectral factorization in the radon space

R. R. Galigekere, E. I. Plotkin, M. N.S. Swamy

Research output: Contribution to conferencePaperpeer-review

1 Citation (Scopus)

Abstract

The problem of spectral factorization in twodimensions (2-D) is complicated by the lack of a fundamental theorem of algebra in 2-D. In this paper, the theoretical aspects of a new method of 2-D spectral factorization are presented. The Radon transform is used as a tool to reduce the 2-D problem to a set of independent 1-D problems, which can be solved by well developed 1-D techniques. The proposed method guarantees stability and correlation match, although in the Radon space, by virtue of being a set of 1-D problems. The method is useful for modeling and processing tomographic data.

Original languageEnglish
Pages15-18
Number of pages4
DOIs
Publication statusPublished - 01-01-1994
Event7th IEEE SP Workshop on Statistical Signal and Array Processing, SSAP 1994 - Quebec, Canada
Duration: 26-06-199429-06-1994

Conference

Conference7th IEEE SP Workshop on Statistical Signal and Array Processing, SSAP 1994
Country/TerritoryCanada
CityQuebec
Period26-06-9429-06-94

All Science Journal Classification (ASJC) codes

  • Statistics, Probability and Uncertainty
  • Signal Processing

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