2023
On Neural Architectures for Deep Learning-Based Source Separation of Co-Channel OFDM Signals
ICASSP 2023accepted
We study the single-channel source separation problem involving orthogonal frequency-division multiplexing (OFDM) signals, which are ubiquitous in many modern-day digital communication systems. Related efforts have been pursued in monaural source separation, where state-of-the-art neural architectur…