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Support vector machines are a good candidate for the solution of antenna array processing problems such as beamforming and the angle of arrival estimation, because these algorithms provide superior performance in generalization ability and computational complexity. In this work we introduce three new approaches for antenna array beamforming based on support vector machines. The first one is based...
Support vector machines (SVM) have improved generalization performance over other classical optimization techniques due to the Thikonov regularization scheme included in its formulation. In this paper, an SVM-based approach for nonlinear array processing which is inspired on the minimum variance distortionless method (MVDM) is introduced. The approach is developed through the formulation of the MVDM...
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