Edge detection is the process of determining where boundaries of objects fall within an image. So far, several standard operators-based methods have been widely
In this paper, we derive a new method for estimating the parameters of the K-distribution when a limited number of samples are available. The method is based on
This paper proposes a novel equalizer, termed here as Evolutionary MPNN, where a complex modified probabilistic Neural Networks (MPNN) acts as a filter for the
A nonlinear autoregressive approach with exogenous input is used as a novel method for statistical forecasting of the disturbance storm time index, a measure of