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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.
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