• DocumentCode
    2434416
  • Title

    Locally stationary processes

  • Author

    Oxley, Mark E. ; Reid, Thomas F. ; Suter, Bruce W.

  • Author_Institution
    Dept. of Math. & Stat., Air Force Inst. of Technol., Wright-Patterson AFB, OH, USA
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    257
  • Lastpage
    261
  • Abstract
    The signals that arise in Air Force applications typically have noise that can be modeled as a non-stationary stochastic process. However, there may be intervals of time where the noise behaves more like a stationary process. This motivates the study of locally stationary stochastic processes. We rigorously define locally stationary stochastic processes and present their properties and relationships to stationary processes
  • Keywords
    random noise; signal processing; stochastic processes; Air Force applications; locally stationary stochastic processes; noise; non-stationary stochastic process; time intervals; Fluctuations; Laboratories; Mathematics; Optimal control; Random variables; Reactive power; Signal processing; Statistics; Stochastic processes; Stochastic systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Statistical Signal and Array Processing, 2000. Proceedings of the Tenth IEEE Workshop on
  • Conference_Location
    Pocono Manor, PA
  • Print_ISBN
    0-7803-5988-7
  • Type

    conf

  • DOI
    10.1109/SSAP.2000.870123
  • Filename
    870123
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2434416