A method determines deviations between actual measured current values and setpoint current values in a number n (n≥2) of parallel-connected current-regulated circuit paths for the connection of a load with an energy source. A measurement of the total actual current value flowing from the energy source to the load is effected by a precision current measuring device with a low accuracy tolerance, and the measurement of partial currents in the circuit paths is effected by standard current measuring devices with a greater accuracy tolerance, in relation to the precision current measuring device. By an adjustment of the partial currents in the circuit paths, while maintaining a constant total current, values are obtained for a n-dimensional equation system corresponding to the number of circuit paths, the resolution of which, in the knowledge of the accurate total actual current, gives the deviations in the actual values of the partial currents.

A dynamic measuring system is described that comprises a measuring device. The measuring system has an acquisition unit and a post processing unit that is configured to post process the digital signal. The post processing unit has at least one signal correction filter being configured to be operated in at least two different modes for processing the digital signal. The signal correction filter has at least a first signal correction filter setting being used in a first mode and a second signal correction filter setting being used in a second mode. In addition, the measuring system has a switching unit that is configured to select the first mode or the second mode, the switching unit being configured to be operated dynamically based on an event in the data signal. The signal correction filter comprises time variable coefficients. Further, a method for probing a dynamic data signal is also described.

Provided an apparatus that receives time series data from a data storage unit storing time series of sample data or feature values calculated from the sample data, computes a measure indicating change and repetition characteristics of the time series data, based on sample value distribution thereof, selects a state model structure to be used for model learning and estimation, from state models including a fully connected state model and a one way direction state model, based on the measure and stores the selected state model in a model storage unit.

The present invention relates to a measurement of radio-frequency signals by a measurement arrangement comprising a radio-frequency lens for mapping a vertex of a reflector to a virtual vertex. Accordingly, measurement of radio-frequency signals may be performed either at the vertex of the reflector or the virtual vertex generated by means of the radio-frequency lens.

Various embodiments described in this disclosure pertain to methods and systems for detecting and evaluating oscillations in an electrical power grid. The oscillations can include one or more oscillatory conditions, which can occur in one or more of five predefined frequency bands. Each of the five predefined frequency bands is categorized at least in part, by oscillations that are originated by uniquely different sources. In one embodiment, an oscillation detector can be used to detect the oscillatory condition and determine a magnitude characteristic, a phase characteristic, and/or a damping characteristic of at least one oscillation frequency that contributes to the oscillatory condition.

A device may receive audio data based on a capturing of sounds associated with a structure. The device may obtain a model associated with the structure. The model may have been trained to receive the audio data as input, determine a score that identifies a likelihood that a sound is present in the audio data, and identify the sound based on the score. The device may determine at least one parameter associated with the sound. The device may generate a metric based on the at least one parameter associated with the sound, and perform an action based on the metric.

In one or more embodiments, an efficient scheme is provided for sampling inductor currents in a digital multiphase PWM controller used for high-bandwidth voltage regulation. Some embodiments use the data from the PWM modulator along with weighted states based on the PWM waveform and past conversions in order to prioritize which current sense input should be sampled for each conversion. In these and other embodiments, a single ADC is used to sample inductor currents from two or more phases in a multiphase PWM controller, thereby providing power and area savings, for example.

The present disclosure relates to a sensor system, comprising a microcontroller, at least one sensor chip designed to measure a physical quantity, wherein the microcontroller and the sensor chip are coupled to one another via at least one analog signal interface for conveying analog measurement data between the sensor chip and the microcontroller and via a bidirectional digital signal interface for conveying digital secondary information between the sensor chip and the microcontroller.

Amplifier systems for measuring a wide range of current are provided herein. In certain embodiments, an amplifier system includes a controllable sensing circuit, a first amplifier including an output configured to drive a device under test (DUT) through the controllable sensing circuit, and a second amplifier including an input coupled to the controllable sensing circuit and operable to generate a measurement signal indicating an amount of measured current of the DUT. The amplifier system further includes a control circuit operable to control a configuration or mode of the controllable sensing circuit suitable for a particular type of DUT.

Improved determination of a trigger time. For this purpose, an input signal is provided to multiple low pass filters having different bandwidths. A trigger event is detected in each of the low pass filtered signals and a corresponding trigger time is determined. The trigger time which is determined based on valid trigger detection and provided by the low pass filter with the highest bandwidth is used for further analysis.