Mono channel burst classification using machine learning

Abstract

A system an input to receive a waveform signal, and one or more processors configured to execute code to cause the one or more processors to extract data bursts from the waveform signal, generate corresponding data vectors from the raw data for each data burst, and use machine learning to classify each data burst from the corresponding data vector. A method of classifying a data burst, comprising receiving an input waveform, extracting data bursts from the input waveform, deriving one or more spectral features of the data bursts, generating corresponding data vectors for each data burst from the one or more spectral features, and using machine learning to classify the data bursts from the corresponding data vectors.

Dependencies are inferred from the claim text.