System for generating synthetic digital data for data multiplication

A method for generating synthetic digital data, comprising the step of:

• feeding random or pseudorandom data to a trained neural network decoder,
• wherein the trained neural network decoder is configured to generate synthetic digital data representing measured signal characteristics based on the random or pseudorandom data,
• wherein the trained neural network decoder is obtainable by:
• a) receiving a measured signal, in particular an RF signal, at a receiver,
• b) converting the measured signal to digital data representing signal characteristics of the measured signal,
• c) feeding said digital data to a neural network encoder, wherein the neural network encoder is configured to generate a compressed representation of the digital data, and
• d) feeding the compressed representation of the digital data to the neural network decoder, wherein the neural network decoder is configured to generate a reconstruction of the digital data based on the compressed representation.