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Applicability of the White-Noise Method and the Use of Quasiwhite Test Signals

  • Panos Z. Marmarelis
  • Vasilis Z. Marmarelis
Part of the Computers in Biology and Medicine book series (CBM)

Introduction

The white-noise method of system identification, i.e., the Wiener formulation of the nonlinear system identification problem in connection with the crosscorrelation technique, appears to be a general, straightforward, and powerful approach to a subject where great mathematical complexity is usually encountered. However, the generality and the elegance of the method is bound to be moderated in actual applications by limitations imposed by reality.

Keywords

Autocorrelation Function Gaussian White Noise Galois Field Volterra Kernel Functional Series 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Plenum Press, New York 1978

Authors and Affiliations

  • Panos Z. Marmarelis
    • 1
  • Vasilis Z. Marmarelis
    • 2
  1. 1.School of MedicineUniversity of California, Los AngelesLos AngelesUSA
  2. 2.School of Engineering and Applied ScienceCalifornia Institute of TechnologyPasadenaUSA

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