Abstract: A method of authenticating a received signal comprises receiving signals within a spectrum of bandwidth B, converting the signals into a frequency domain representation of bandwidth B, and segmenting the frequency domain representation of bandwidth B into spectrum segments each of training bandwidth W. For each spectrum segment, the method further comprises applying the spectrum segment to a neural network, and receiving, from the neural network, a radio frequency identification map comprising two or more classification vectors. The method further comprises determining a total variation across the two or more classification vectors and identifying the received signal as authenticated when the total variation is less than a threshold value. The method may further comprise training the neural network using a training dataset of wideband training samples. The method may further comprise generating each of the wideband training samples by stitching together two or more stored signals.