METHOD FOR TRAINING A NEURAL NETWORK, METHOD FOR AUTOMATICALLY CHARACTERIZING A MEASUREMENT SIGNAL, MEASUREMENT APPARATUS AND METHOD FOR ANALYZING

The present invention relates to a method for training a signal characterization neural network. The method comprises the steps of: providing a measurement signal having at least one distortion; assigning at least one predefined signal integrity identifier to a corresponding distortion within the measurement signal; generating at least one input training vector based on the provided measurement signal and the corresponding assigned signal integrity identifier; and applying the generated input training vector on input terminals of the signal characterization neural network for training the signal characterization neural network. The present invention also relates to a method for automatically characterizing a measurement signal. The present invention further relates to a measurement apparatus and a corresponding method for analyzing a waveform signal.