A Deep-Learning (DL) system for representation and construction or reconstruction of signals includes an encoder stage; an encoding; an optional modification stage; a decoder stage, and a (re)construction stage. The encoder stage includes layers of dilated convolutions, and the encoder maps from an input representation into a latent embedded representation. It learns a set of features that encode the input signals. The encoding stage comprises latent space; the decoder stage maps from latent features back to an output of the same size as the input signals, whereby the output has the same dimensionality and representation as the input signals. Modification to the signal can be conducted within the latent representation to alter the (re)construction for specific tasks, such as increasing a device's RF fingerprint.