US 12,265,125 B2
System and method for separation and classification of signals using cyclic loop images
John J. Pickerd, Hillsboro, OR (US); and Saifee F. Jasdanwala, Portland, OR (US)
Assigned to Tektronix, Inc., Beaverton, OR (US)
Filed by Tektronix, Inc., Beaverton, OR (US)
Filed on Jun. 11, 2021, as Appl. No. 17/345,342.
Claims priority of provisional application 63/177,930, filed on Apr. 21, 2021.
Claims priority of provisional application 63/041,041, filed on Jun. 18, 2020.
Claims priority of provisional application 63/039,360, filed on Jun. 15, 2020.
Claims priority of provisional application 63/038,040, filed on Jun. 11, 2020.
Prior Publication US 2021/0390456 A1, Dec. 16, 2021
This patent is subject to a terminal disclaimer.
Int. Cl. G01R 31/28 (2006.01); G01R 13/02 (2006.01); G01R 31/317 (2006.01); G01R 31/319 (2006.01); G06F 18/20 (2023.01); G06N 20/00 (2019.01)
CPC G01R 31/31908 (2013.01) [G01R 13/0272 (2013.01); G01R 31/31708 (2013.01); G01R 31/31905 (2013.01); G06F 18/20 (2023.01); G06N 20/00 (2019.01); G06F 2218/16 (2023.01)] 21 Claims
OG exemplary drawing
 
1. A system to classify signals, comprising:
an input to receive incoming waveform data;
a memory; and
one or more processors configured to execute code to cause the one or more processors to:
generate a ramp sweep signal from the incoming waveform data;
locate a data burst in the incoming waveform data using a burst detector;
receive a signal from the burst detector to cause the memory to store cyclic loop image data in the form of the incoming waveform data as y-axis data and the ramp sweep signal as x-axis data; and
employ a machine learning system to receive the cyclic loop image data and classify the data burst.