Time Frequency Image Analysis Using Neural Networks

A realization of obtaining energy concentration along instantaneous frequency (IF) for blurry time frequency images (TFIs) is proposed using neural networks (NNs). NN captures the fundamental principle at work once trained with various spectrogram TFIs by defining various edges present in input data. Unknown spectrogram TFIs of multi component signals, are then given as test images to the trained NN measuring the information content in each input and resultant TFI thus manifest the effectiveness of NNs in TFI analysis