Abstract: Iterative gradient-based optimization algorithms are widely used to solve difficult or large-scale optimization problems. There are many algorithms to choose from, such as gradient descent ...
Abstract: This paper presents a novel approach for enhancing the performance of adaptive filtering in environments with non-Gaussian or impulsive noise by developing a sparsity-aware exponential ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results