A signal processing method amplifies low-amplitude fault signatures in cables using zero-crossing point identification.
Neural networks analyze input waveforms against reference repositories to automate classification, reducing manual algorithm development burdens.
A data analysis technique compares long records against a reference to identify significant deviations.
Dynamic grid-point shifting resolves fixed-display errors, improving measurement precision and visual organization.
An intermediary system modifies sensor data samples to emulate hardware sensors for consuming applications.
Polynomial fitting of sampled magnetic field data reduces the noise floor in indirect tire pressure monitoring systems, preserving vibration information.
Dual sampling calculates optical phase fluctuations from time and amplitude differences, enabling precise measurement without high-speed hardware complexity.
Segmenting multi-gigabyte waveforms into independent partitions reduces network bandwidth consumption while preserving analysis capability.
Power and singular spectrum entropy thresholds identify transient signals, preventing superimposition during capture.
A measurement apparatus analyzes input signal frequency components to determine appropriate sampling rates.
Cross-correlating independent digitizer channels separates uncorrelated noise, enabling accurate pseudo-periodic waveform reconstruction.
A smart triggering system captures signal history to detect rare anomalies without post-acquisition dead time.
Pre-computed trigger decisions resolve the contradiction between measurement precision and efficiency by eliminating real-time interpolation.
A computing device displays sensor measurement data using gradient shading to represent statistical distributions across time intervals.
A digital edge trigger circuit processes time-interleaved ADC data to detect signal thresholds at full system bandwidth.
A testing system computes GUI differences using a weighting function to determine validity.
A test and measurement instrument configures settings via programmatic measurement preconditions to automate signal acquisition.
Segmented tab windows organize measurement results to prevent screen crowding while maintaining access to all data.
A test and measurement instrument creates marks on digitized signals to identify features.
A multi-digitizer system pairs independent signal samples to reconstruct noise-reduced pseudo-periodic waveforms.
A power trigger system converts digital RF signals into power levels and compares them against defined thresholds to generate precise trigger events.
An augmented reality system overlays virtual measurement data onto physical test environments to guide users during probe placement.
A dynamic auto-trigger unit adapts trigger timing to signal frequency for stable image acquisition.
A vector network analyzer determines group delay between periodic RF signals by calculating the phase slope of their cross-spectrum in the frequency domain.
Time variable coefficients in a signal correction filter adapt to detected events, reducing measurement time and error risk.
Series communication lines enable automatic address setting for voltage detection ICs, eliminating external terminals and reducing manufacturing costs.