Patent Document ID: 10133987
Application ID: 14330202
Patent Status: 1

Claim One:
1. A computerized method of categorizing signals sensed from receivers into one of a plurality of categories using a machine learning component that obfuscates other characteristics of the signals beyond the categorization of the signal, comprising: generating, by a computing device, a set of training signals comprising signals representative of each of a plurality of categories of signals, the plurality of categories including categories for incumbent signal types, managed signal types, noise signal types, and clutter signal types; training, by the computing device, a machine learning component using the set of training signals so that the machine learning technique can categorize new signals into one of the plurality of categories; and transmitting, by the computing device, the machine learning component to one or more receivers so that each receiver can categorize sensed signals into one of the plurality of categories using the machine learning component while obfuscating other characteristics of the sensed signals.