A method for estimating the parameters of the K distribution

  • Authors:

  • D.R. Iskander;A.M. Zoubir;B. Boashash

  • Affiliations:

  • Centre for Eye Res., Queensland Univ. of Technol., Brisbane, Qld.;-;-

  • Venue:
  • IEEE Transactions on Signal Processing
  • Year:
  • 1999

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Abstract

A method that combines the maximum likelihood and the method of moments for estimating the parameters of the K distribution is proposed. The method results in the lowest variance of parameter estimates when compared with existing non-ML techniques