• DocumentCode
    429042
  • Title

    A stochastic method for generating signals with jointly specified probability mass, spectral, and correlation properties for the identification of physiological systems

  • Author

    Tangorra, J.L. ; Jones, L.A. ; Hunter, I.W.

  • Author_Institution
    Dept. of Mechanical Eng., MIT, Cambridge, MA, USA
  • Volume
    1
  • fYear
    2004
  • fDate
    1-5 Sept. 2004
  • Firstpage
    103
  • Lastpage
    106
  • Abstract
    An efficient stochastic interchange method was developed that allows two discrete time sequences to be created with a specified cross-correlation function and individually defined amplitude and spectral characteristics. The technique is particularly useful for creating sequences for the stimulation of multi-input physiological systems. It is very general in that sequences of any signal type can be manipulated and are not limited to being white and/or uncorrelated. By temporally separating occurrences of common frequencies, the method can even be used to create sequences that share common power, but can be treated as uncorrelated. The method is made practical by an algorithm that updates efficiently the auto- and cross-correlation functions of the sequences as they are being created.
  • Keywords
    correlation methods; eye; medical signal processing; neurophysiology; stochastic processes; auto-input physiological systems; cross-correlation function; discrete time sequences; human vestibulo-ocular reflex; jointly specified probability mass properties; multi-input physiological systems; physiological systems identification; spectral properties; stochastic interchange method; Autocorrelation; Frequency; Laboratories; Mechanical engineering; Mechanical factors; Random sequences; Signal generators; Signal processing; Stochastic systems; Torque; VOR; correlation; identification; physiological; signals; stochastic swap; system; uncorrelated; vestibular;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE
  • Conference_Location
    San Francisco, CA
  • Print_ISBN
    0-7803-8439-3
  • Type

    conf

  • DOI
    10.1109/IEMBS.2004.1403101
  • Filename
    1403101