SYSTEM AND METHOD FOR MULTI-LEVEL SIGNAL CYCLIC LOOP IMAGE REPRESENTATIONS FOR MEASUREMENTS AND MACHINE LEARNING

    公开(公告)号:US20210389373A1

    公开(公告)日:2021-12-16

    申请号:US17345312

    申请日:2021-06-11

    Abstract: A system includes an input to receive a digital waveform signal, a memory, and one or more processors configured to execute code to cause the one or more processors to: generate a horizontal ramp sweep signal based on the digital waveform signal; receive a selection input to identify a segment of the digital waveform signal; gate the horizontal ramp sweep signal and the digital waveform signal based on the selection input to produce cyclic loop image data for the segment of the digital waveform; store the cyclic loop image data in the memory; and provide the cyclic loop image data as one or more inputs into a machine learning system. A method of waveform classification using a cyclic loop image includes receiving an input waveform, receiving a selection of a segment of the input waveform, transforming the segment of the input waveform into cyclic loop image data, the transforming comprising generating a horizontal ramp sweep signal based on edge transitions in the input waveform, and storing the cyclic loop image data in a memory; and sending the cyclic loop image data to a machine learning system to determine an attribute of the input waveform.

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