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Adaptive Beamforming Based on Linearly Constrained Maximum Correntropy Learning Algorithm
Year: 2017
Abstract:
The Gaussian noise profile has been demonstrated
to be an inaccurate model in several antenna beamforming
problems. Many available beamformers are based on secondorder
statistics and their efficiency ...
Universal Approximation by Using the Correntropy Objective Function
Year: 2017
Abstract:
Several objective functions have been proposed in the
literature to adjust the input parameters of a node in constructive
networks. Furthermore, many researchers have focused on the universal
approximation ...