Neural Network Approach to Pisarenko’s Frequency Estimation

  • Fa-Long Luo
  • Rolf Unbehauen
Conference paper


This paper proposes a neural network approach for computing in real-time the required eigenvector in Pisarenko’s frequency estimation method. We will show both analytically and by simulations that this neural network approach has some advantages over the available neural network methods and is more suitable for real-time applications of Pisarenko’s frequency estimation method.


Neural Network Covariance Matrix Frequency Estimation Neural Network Approach Minimum Eigenvalue 
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Copyright information

© Springer-Verlag/Wien 1995

Authors and Affiliations

  • Fa-Long Luo
    • 1
  • Rolf Unbehauen
    • 1
  1. 1.Lehrstuhl für Allgemeine und Theoretische ElektrotechnikUniversität Erlangen-NürnbergErlangenGermany

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