Reduced feature generation for signal classification based on position weight matrix

A method for generating a feature associated with input data includes receiving the input data; projecting the input data with a set of square functions ( ɸ _nh2 ²) of the Schrödinger operator; selecting the feature to be a number of the negative eigenvalues λnh of the Schrödinger operator; and classifying the input data based on the feature

The research reported in this patent was supported by King Abdullah University of Science and Technology (KAUST).