The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Apr. 01, 2025

Filed:

Jun. 11, 2021
Applicant:

Tektronix, Inc., Beaverton, OR (US);

Inventors:

John J. Pickerd, Hillsboro, OR (US);

Saifee F. Jasdanwala, Portland, OR (US);

Assignee:

Tektronix, Inc., Beaverton, OR (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
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);
U.S. Cl.
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);
Abstract

A system to classify signals includes 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. A method of classifying signals includes generating a ramp sweep signal from incoming waveform data, locating a data burst in the incoming waveform data, storing cyclic loop image data for the data burst in the form of the incoming waveform data as Y-axis data and the ramp sweep signal as X-axis data, and using a machine learning system to receive the cyclic loop image and classify the data burst.


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