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.

A sampling assembly is described. The sampling assembly comprises an input, a light source unit, at least one deflector unit, and a light receiver. The input is configured to receive an electrical input signal. The light source unit is configured to generate and output a light beam in the direction of the deflector unit. The light source unit is configured to adapt an intensity of the light beam based on an amplitude of the input signal. The deflector unit is configured to obtain a deflection command signal. The deflector unit further is configured to deflect the light beam into at least one spatial direction based on the deflection command signal. The light receiver comprises at least two photosensitive pixels. The light receiver is configured to receive the light beam via at least one of the at least two photosensitive pixels, and the light receiver is configured to convert received light into an electrical output signal. Further, a testing instrument is described.

A method for monitoring the status of an apparatus comprises processing in a processor a cyclic signal emitted and/or received by said apparatus, by sampling at least part of a plurality of cycles of the cyclic signal at n points to provide n measured values; comparing the n measured values to a predetermined distribution of values at said n points representing a first state of the apparatus; and if the n measured values fall outside predetermined criteria relating to the predetermined distribution, providing an indication that the apparatus is not in the first state.

Certain aspects of the present disclosure relate to a method for compressed sensing (CS). The CS is a signal processing concept wherein significantly fewer sensor measurements than that suggested by Shannon/Nyquist sampling theorem can be used to recover signals with arbitrarily fine resolution. In this disclosure, the CS framework is applied for sensor signal processing in order to support low power robust sensors and reliable communication in Body Area Networks (BANs) for healthcare and fitness applications.

A test and measurement instrument includes a coefficient storage facility coupled to a programmable filter. The coefficient storage facility is configured to store at least two pre-determined filter coefficient sets, and configured to pass a selected one of the at least two pre-determined filter coefficient sets to the filter based on a measurement derived using a compensation oscillator. The measurement may include clock delay and clock skew. In some examples the test and measurement instrument may additionally adjust clock delay and/or clock skew in addition to selecting appropriate filter coefficients.

A test and measurement instrument having an input configured to acquire waveforms from a device under test, a memory configured to store the acquired waveforms, a user input configured to receive a selection, and one or more processors. The one or more processors can render on a display the acquired waveforms, receive the selection from the user input indicating a filter criterium, such as a region of interest in the displayed acquired waveforms, determine which waveforms of the acquired waveforms are within the region of interest, and render only waveforms associated with the region of interest on the display.

A test and measurement instrument includes an acquisition memory and a processor structured to store a stream of sampled incoming data samples in the acquisition memory. As the memory fills, the instrument automatically decimates either the data samples already stored in the acquisition memory, the incoming data samples, or both. The instrument may also store two copies of the incoming data samples, one at an increased decimation rate. The two copies are tied together with a timestamp or using other methods. The more highly decimated copy may be used to produce a video output of the stored data samples, saving the instrument from generating the video output from the larger sized sample.

An apparatus and a method for using a signal analyzer are disclosed. The apparatus includes an input port having a first plurality of input channels. The input port generates a digital data stream from each of the first plurality of input channels. The apparatus also includes a trigger bank having a second plurality of trigger processors, each trigger processor receiving a digital data stream chosen from the digital data streams and generating a trigger output having one of a plurality of possible values from the digital data stream. A trigger combiner that receives each of the trigger outputs and generates a trigger signal if the combined trigger outputs satisfy a predetermined criterion. A controller copies the digital data streams to a memory and copies the trigger processor outputs to the memory in response to the trigger combiner generating the trigger signal.

A method for improving frequency response of a high-speed data acquisition device includes sampling signals received at an input of the high-speed data acquisition device at a first sampling rate and generating a digital data stream representative of the sampled input signals. The digital data stream is interpolated to generate an interpolated digital signal with a higher sample rate than the first sampling rate, and one or more finite impulse response (FIR) filters are applied to the interpolated digital signal to generate a filtered digital signal. The filtered digital signal corrects for: parasitic and/or expected response of elements from the network of resistors and capacitors in the anti-aliasing filter in the high-speed data acquisition device, and select anti-aliasing filter response characteristics. The filtered digital signal is decimated to reduce the sampling rate of the filtered digital signal and generate a decimated digital signal.

An improved selection of a specific position in a measured signal is provided. For this purpose, a coarse selection of a position is received and subsequently one or more specific events nearby the coarse position are identified. Accordingly, one of the identified events may be selected and precise positioning on the selected event is performed.