Patent ID: 11910209
Assignee: AURORA INSIGHT, INC.
Field: Digital communication (Electrical engineering)
Classification: CPC H  G | IPC G  H

Claim 6:
7. A method for classifying telecommunication signals, comprising:
receiving signal information;
processing the signal information through an image processing algorithm in the time domain to produce a first compact dataset;
transforming the signal information into the frequency domain;
processing the signal information through the image processing algorithm in the frequency domain to produce a second compact dataset; and
using the first and second compact datasets to train machine learning algorithms to detect, identify, and classify telecommunication signals, wherein using the first and second datasets to train the machine learning algorithms to detect, identify, and classify telecommunication signals comprises using the first and second datasets to train the machine learning algorithms to:
determine distribution of in-phase and quadrature-phase signals,
compare the distribution of the in-phase and quadrature-phase signals over a frequency band of interest against noise distribution, and
apply thresholds to isolate signals.