CATEGORIZATION OF ACQUIRED DATA BASED ON EXPLICIT AND IMPLICIT MEANS

    公开(公告)号:US20200166546A1

    公开(公告)日:2020-05-28

    申请号:US16695795

    申请日:2019-11-26

    Abstract: A method of classifying waveform data includes receiving input waveform data at a test and measurement system, accessing a repository of reference waveform data and corresponding classes, analyzing the input waveform data and the reference waveform data to designate a class of the input waveform data, and using the class designation to provide information to a user. A test and measurement system has a user interface, at least one input port, a communications port, a processor, the processor configured to execute instructions causing the processor to: receive input waveform data through at least one of the input port or the user interface; access a repository of reference waveform data; analyze the input waveform data using the reference waveform data; designate a class of the input waveform data; and use the class to provide information to the user about the input waveform.

    Categorization of acquired data based on explicit and implicit means

    公开(公告)号:US11181552B2

    公开(公告)日:2021-11-23

    申请号:US16695795

    申请日:2019-11-26

    Abstract: A method of classifying waveform data includes receiving input waveform data at a test and measurement system, accessing a repository of reference waveform data and corresponding classes, analyzing the input waveform data and the reference waveform data to designate a class of the input waveform data, and using the class designation to provide information to a user. A test and measurement system has a user interface, at least one input port, a communications port, a processor, the processor configured to execute instructions causing the processor to: receive input waveform data through at least one of the input port or the user interface; access a repository of reference waveform data; analyze the input waveform data using the reference waveform data; designate a class of the input waveform data; and use the class to provide information to the user about the input waveform.

    SIMULATION CORRECTION USING MEASUREMENTS AND DEEP LEARNING

    公开(公告)号:US20210081592A1

    公开(公告)日:2021-03-18

    申请号:US17024529

    申请日:2020-09-17

    Abstract: A method for improving the accuracy of simulation models can include measuring a characteristic value at one or more nodes of a physical embodiment corresponding to the simulation model; inputting the measured characteristic value into a trained machine learning facility corresponding to the simulation model; and receiving from the trained machine learning facility one or more predicted values based at least in part on the inputted measured characteristic value.

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