2019
A Learning-based Framework for Line-spectra Super-resolution
ICASSP 2019accepted
We propose a learning-based approach for estimating the spectrum of a multisinusoidal signal from a finite number of samples. A neural-network is trained to approximate the spectra of such signals on simulated data. The proposed methodology is very flexible: adapting to different signal and noise mo…