Abstract: A test and measurement system includes a machine learning system, a test and measurement device including a port configured to connect the test and measurement device to a device under test (DUT), and one or more processors, configured to execute code that causes the one or more processors to: acquire a waveform from the device under test (DUT), transform the waveform into a composite waveform image, and send the composite waveform image to the machine learning system to obtain a bit error ratio (BER) value for the DUT. A method of determining a bit error ratio for a device under test (DUT), includes acquiring one or more waveforms from the DUT, transforming the one or more waveforms into a composite waveform image, and sending the composite waveform image to a machine learning system to obtain a bit error ratio (BER) value for the DUT.

Abstract: A heat spreader may include a body having a first surface and a second surface opposite the first surface. Also, the heat spreader may include a wall disposed along a perimeter of the body, the wall extending from the first surface, the wall having a plurality of cut-outs. Furthermore, the heat spreader may include at least one channel extending from a first edge of the body to a second edge of the body parallel to the first edge, where the at least one channel disposed in a first cut-out of a first side of the wall and in a second cut-out of a second side of the wall opposite the first side.

Abstract: A test and measurement instrument having an integrated analog front end that includes one or more amplifiers, the one or more amplifiers implemented on a high-speed amplifier integrated circuit die, a controlled-impedance signal path between an input and a reference voltage, the controlled-impedance signal path including one or more signal taps and one or more controlled-impedance attenuator stages, the one or more controlled-impedance attenuator stages implemented on the amplifier integrated circuit die, and a switching network structured to selectively couple a signal tap of the controlled-impedance signal path to a respective amplifier of the one or more amplifiers, the switching network implemented on the amplifier integrated circuit die

Abstract: A test and measurement instrument includes an input to receive a non-return-to-zero (NRZ) waveform signal from a device under test, a ramp generator to use the NRZ waveform signal to generate a ramp sweep signal, a gate to gate the ramp sweep signal and the NRZ waveform signal to produce gated X-axis and Y-axis data, and a display to display the gated X-axis and Y-axis data as a cyclic loop image. A method of generating a cyclic loop image includes receiving an input waveform, using the input waveform to generate a ramp sweep signal, gating the ramp sweep signal and the input waveform to produce gated X-axis and Y-axis data, and displaying the gated X-axis and Y-axis data as a cyclic loop image.

Abstract: A test and measurement device includes an interface configured to acquire analog three-phase signals from a device under test, and a processor programmed to execute instructions that cause the processor to perform a direct-quadrature-zero, DQ0, transformation and produce DQ0 signals based on the analog three-phase signals, and measure performance of the device under test based on the DQ0 signals. A method includes acquiring three-phase signals from a device under test, performing a direct-quadrature-zero, DQ0, transformation on the three-phase signals to produce DQ0 signals, and using the DQ0 signals to measure performance of the device under test.

Abstract: A test and measurement instrument has a user interface configured to allow a user to provide one or more user inputs, a display to display results to the user, a memory, one or more processors configured to execute code to cause the one or more processors to receive a waveform array containing waveforms resulting from sweeping one or more parameters from a set of parameters, recover a clock signal from the waveform array, generate a waveform image for each waveform, render the waveform images into video frames to produce an image array of the video frames, select at least some of the video frames to form a video sequence, and play the video sequence on a display.

Abstract: A communication network has multiple nodes, each node having one or more antennas, one or more input ports to receive communication signals from the antenna, a memory to store data associated with the communication signals, and one or more processors to gather local data about an environment, communicate with other nodes as needed, and use the local data to determine optimized operational settings for the node. A sensor device has one or more antennas to receive communication signals from other nodes in a communication network, one or more input ports to receive the communication signals, one or more output ports to transmit communication signals, a memory to store data associated with the communication signals, and one or more processors to determine a position of the sensor, transmit signals, receive return signals, produce return signal data, and use a machine learning system on the return signal data to identify unblocked ports.

Abstract: A margin tester including an identification reader configured to receive an adaptor identifier of an adaptor, an interface configured to connect to a device under test through the adaptor, and one or more processors configured to assess a margin, such as an electrical margin or an optical margin, of a device under test and tag the assessment with the adaptor identifier. Assessing the margin can include assessing the margin based on an expected margin that is predicted or provided based on the adaptor identifier.

Abstract: A margin testing device includes at least one interface structured to connect to a device under test (DUT) one or more controllers structured to create a set of test signals based on a sequence of pseudo random data and one or more pre-defined parameters, and an output structured to send the set of test signals to the DUT. Methods and a system for testing a DUT with the disclosed margin tester and other testing device are also described.

Abstract: A method of securing a probe tip to a device under test (DUT), the method comprising: positioning the probe tip near a test point of the DUT, the probe tip comprising a connection point on a signal-path portion of the probe tip and an attachment tab, the connection point making an electrical connection with the test point of the DUT, the attachment tab extending away from the signal-path portion of the probe tip; applying an adhesive to the DUT through a hole in the attachment tab of the probe tip; and curing the adhesive to secure the probe tip to the DUT.

Abstract: A cable structured to be repeatedly connected to a device, each repeated connection causing degradation of the cable, the cable including a condition indicator disposed on the cable and configured to be updated with each successive connection of the cable into the device.

Abstract: A stand for receiving a portable test and measurement instrument includes a base plate, a first portion extending orthogonally from the generally flat base, the first portion including one or more holes spaced in a pattern through which one or more fasteners may attach the test and measurement instrument to the stand, and a second portion adjacent to and extending at an angle from the first portion, the second portion including one or more holes spaced in a pattern through which one or more fasteners may attach the test and measurement instrument to the stand.

Abstract: A test and measurement instrument includes one or more processors to execute code to cause the processors to: access a user instance of the test and measurement instrument; receive one or more requests from the user instance of the test and measurement instrument; determine any collisions between the one or more requests and any other requests for elements of the test and measurement instrument; resolve any collisions as necessary; perform one or more operations to fulfill the request; and display information resulting from the one or more operations on an instance user interface.

Abstract: A test and measurement system includes a test and measurement instrument, including a port to receive a signal from a device under test (DUT), and one or more processors, configured to execute code that causes the one or more processors to: adjust a set of operating parameters for the DUT to a first set of reference parameters; acquire, using the test and measurement instrument, a waveform from the DUT; repeatedly execute the code to cause the one or more processors to adjust the set of operating parameters and acquire a waveform, for each of a predetermined number of sets of reference parameters; build one or more tensors from the acquired waveforms; send the one or more tensors to a machine learning system to obtain a set of predicted optimal operating parameters; adjust the set of operating parameters for the DUT to the predicted optimal operating parameters; and determine whether the DUT passes a predetermined performance measurement when adjusted to the set of predicted optimal operating parameters.

Abstract: A method of training a machine learning system to determine operating parameters for optical transceivers includes connecting the transceiver to a test and measurement device, tuning the transceiver with a set of parameters, capturing a waveform from the transceiver, sending the waveform and the set of parameters to a machine learning system, and repeating the tuning, capturing, and sending until a sufficient number of samples are gathered.

Abstract: An equivalent-time sampling test and measurement instrument for acquiring a repeating pattern signal under test at or near a maximum sampling speed of the test and measurement instrument. The test and measurement instrument includes a first input configured to receive repeating pattern information about a signal under test, a second input configured to receive the signal under test, one or more processors configured to determine an optimized trigger holdoff period that is set based on a minimum trigger holdoff period of a test and measurement instrument, and an acquisition unit configured to acquire a portion of the signal under test every optimized trigger holdoff period.

Abstract: A test and measurement instrument for determining magnetic core losses of a device under test during in circuit operation. The test and measurement instrument receives a primary current signal from a primary winding of a device under test and receives a primary voltage signal measured across a magnetic core of the device under test. Based on the primary electric current signal and the primary voltage signal, the test and measurement instrument determines a magnetic loss of the device under test. In some examples, the test and measurement instrument can use primary and secondary voltage and current inputs to determine the magnetic loss of the device under test. The magnetic loss of the device under test can be displayed on a display of the test and measurement instrument. The magnetic loss can include a total magnetic loss, a hysteresis loss, a copper loss, and/or other losses.

Abstract: A machine learning management system includes a repository having one or more partitions, the one or more partitions being separate from others of the partitions, a communications interface, and one or more processors configured to execute code to: receive a selected model and associated training data for the selected model through the communications interface from a customer; store the selected model and the associated training data in a partition dedicated to the customer; and manage the one or more partitions to ensure that the customer can only access the customer's partition. A method includes receiving a selected model and associated training data for the selected model from a customer, storing the selected model and the associated training data in a partition dedicated to the customer in a repository, and managing the one or more partitions to ensure that the customer can only access the partition dedicated to the customer.