Abstract: Traditional adaptive beamformers often exhibit performance degradation under model mismatches or limited sample scenarios. To address these limitations, this paper proposes a robust adaptive ...
This project explores Bayesian Optimization as an alternative to traditional gradient-based and gradient-free methods for finding the global minimum of a function. The research is motivated by the ...
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