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      Cumulant-based parametric multichannel FIR system identification methods

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      Author
      Özgen, M. T.
      Alshebeili, S. A.
      Çetin, A. Enis
      Venetsanopoulos, A. N.
      Date
      1994
      Source Title
      Journal of the Franklin Institute
      Print ISSN
      0016-0032
      Publisher
      Elsevier
      Volume
      331
      Issue
      2
      Pages
      145 - 155
      Language
      English
      Type
      Article
      Item Usage Stats
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      Abstract
      In this paper, “least squares” and recursive methods for simultaneous identification of four nonminimum phase linear, time-invariant FIR systems are presented. The methods utilize the second- and fourth-order cumulants of outputs of the four FIR systems of which the common input is an independent, identically distributed (i.i.d.) non-Gaussian process. The new methods can be extended to the general problem of simultaneous identification of three or more FIR systems by choosing the order of the utilized cumulants to be equal to the number of systems. To illustrate the effectiveness of our methods, two simulation examples are included.
      Keywords
      Computer simulation
      Distributed parameter control systems
      Infrared radiation
      Invariance
      Least squares approximations
      Linear control systems
      Optical systems
      Recursive functions
      Cumulant
      Far infrared system
      Independent identically distributed non Gaussian process
      Optical imaging
      Parametric multichannel system identification methods
      Phase linear
      Identification (control systems)
      Permalink
      http://hdl.handle.net/11693/25995
      Published Version (Please cite this version)
      http://dx.doi.org/10.1016/0016-0032(94)90028-0
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      • Department of Electrical and Electronics Engineering 3524
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