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A New Approach for Estimating the Parameters of the {\rm K} -Distribution Using Fuzzy-Neural Networks

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2 Author(s)
A. Mezache ; Dept. d'Electron., Univ. de Constantine, Constantine ; F. Soltani

In this correspondence, we introduce a new approach based on fuzzy neural network (FNN) for estimating the parameters of the K-distribution. The FNN proposed estimator combines the Raghavan's and maximum-likelihood and method of moments (ML/MOM) methods and offers a lower variance of parameter estimates when compared with the existing non-maximum-likelihood methods.

Published in:

IEEE Transactions on Signal Processing  (Volume:56 ,  Issue: 11 )