Theoretical Derivation of Minimum Mean Square Error of RBF Based Equalizer

  • Jungsik Lee
  • Ravi Sankar
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4221)


In this paper, the minimum mean square error (MSE) convergence of the RBF equalizer is evaluated and compared with the linear equalizer based on the theoretical minimum MSE. The basic idea of comparing these two equalizers comes from the fact that the relationship between the hidden and output layers in the RBF equalizer is also linear. As extensive studies of this research, various channel models are selected, which include linearly separable channel, slightly distorted channel, and severely distorted channel models. The theoretical minimum MSE for both RBF and linear equalizers were computed, compared and the sensitivity of minimum MSE due to RBF center spreads was analyzed.


Mean Square Error Radial Basis Function Channel Model Minimum Mean Square Error Radial Basis Function 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Jungsik Lee
    • 1
  • Ravi Sankar
    • 2
  1. 1.School of Electronic and Information EngineeringKunsan National UniversityKunsanKorea
  2. 2.Department of Electrical EngineeringUniversity of South FloridaTampaU.S.A.

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