On Neural Architectures for Deep Learning-based Source Separation of Co-Channel OFDM Signals

11 March 2023

Papers citing "On Neural Architectures for Deep Learning-based Source Separation of Co-Channel OFDM Signals"

4 / 4 papers shown

Title
RF Challenge: The Data-Driven Radio Frequency Signal Separation Challenge A. Lancho Amir Weiss Gary C. F. Lee T. Jayashankar Binoy G. Kurien Yury Polyanskiy Gregory W. Wornell 34 0 0 13 Sep 2024
Data-Driven Blind Synchronization and Interference Rejection for Digital Communication Signals A. Lancho Amir Weiss Gary C. F. Lee Jennifer Tang Yuheng Bu Yury Polyanskiy G. Wornell 19 8 0 11 Sep 2022
Dual-Path Transformer Network: Direct Context-Aware Modeling for End-to-End Monaural Speech Separation Jing-jing Chen Qi-rong Mao Dong Liu 54 280 0 28 Jul 2020
Wave-U-Net: A Multi-Scale Neural Network for End-to-End Audio Source Separation Daniel Stoller Sebastian Ewert S. Dixon AI4TS 101 588 0 08 Jun 2018