• DocumentCode
    3388760
  • Title

    Decomposing Statistical Periodicities

  • Author

    Arora, Raman ; Sethares, William

  • Author_Institution
    Department of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, WI 53706-1691 USA. ramanarora@wisc.edu
  • fYear
    2007
  • fDate
    26-29 Aug. 2007
  • Firstpage
    195
  • Lastpage
    199
  • Abstract
    Nonstationary random symbolic sequences are investigated for cyclostationarity and decomposition into constituent cyclostationary sources. Since the symbolic sources do not admit an algebraic structure, a composition of distributions of cyclostationary sources is studied that models the erosion in symbolic sequences, for instance, mutations in gene sequences. This composition gives a rich mathematical structure on the collection of cyclostationary sources and a uniqueness theorem for decomposition of pq-statistically periodic symbolic sources into cyclostationary sources with periods p and q, when p and q are coprime.
  • Keywords
    Genetic mutations; Periodic structures; Cyclostationarity; genomic signal processing; symbolic periodicity; symbolic time series;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Statistical Signal Processing, 2007. SSP '07. IEEE/SP 14th Workshop on
  • Conference_Location
    Madison, WI, USA
  • Print_ISBN
    978-1-4244-1198-6
  • Electronic_ISBN
    978-1-4244-1198-6
  • Type

    conf

  • DOI
    10.1109/SSP.2007.4301246
  • Filename
    4301246