Fractional-Order Stochastic Gradient Descent Over Riemannian Manifolds for Robust Subband Adaptive Filter
Conventional adaptive filter (AF) algorithms based on the stochastic gradient descent (SGD) criterion suffer severe performance degradation in the presence of impulsive noise. To tackle this issue, this letter first proposes a robust arctangent exponential (RATE) loss function to improve robustness against impulsive no...