Publications

A. Felix, S. Cammerer, S. Dörner, J. Hoydis, and S. ten Brink. OFDM-Autoencoder for End-to-End Learning of Communications Systems. 2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 1-5, June 2018. [PUMA: amplifier;frequency-selective myown from:sdnr network-based autoencoders;single-tap computing;end-to-end (artificial networks;Synchronization;Training;Signal processing;Robustness libraries;synchronisation;telecommunication channels;cyclic fading modulation;software training;deep oscillators;commodity multiplexing;OFDM;Receivers;Artificial errors;single-carrier prefix;orthogonal implementations;reliable libraries;imprecise equalisers;fading hardware;multipath intelligence);multipath neural software synchronization frequency communication;OFDM-autoencoder;nonlinear learning equalization;sampling channels;gradient-based channels;learning division learning;deep channels;neural nets;OFDM]