Neural Networks for Higher-Order Spectral Estimation

  • F.-L. Luo
  • R. Unbehauen
Conference paper


This paper deals with neural network approaches for higher order spectral estimation. The emphasis is put on how to use analog neural networks to perform in realtime major computations required in the ARMA model based bispectral estimation and the fourth order cumulant based Pisarenko’s harmonic method. The proposed approaches are useful for the real-time signal processing with higher order spectral estimation.


Neural Network ARMA Model Neural Network Approach High Order Spectrum Nonminimum Phase 
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Copyright information

© Springer-Verlag Wien 1998

Authors and Affiliations

  • F.-L. Luo
    • 1
  • R. Unbehauen
    • 1
  1. 1.Lehrstuhl für Allgemeine und Theoretische ElektrotechnikUniversität Erlangen-NürnbergErlangenGermany

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