Abstract: Knowledge distillation is an attractive approach for learning compact deep neural networks, which learns a lightweight student model by distilling knowledge from a complex teacher model.

Abstract: This paper addresses the problem of estimating the instantaneous frequency (IF) and amplitude of the modes composing a non-stationary multicomponent signal in the presence of noise. A novel ...