This paper introduces the Prism, a new type of signal processing block, as a contribution towards to the challenges of 21st Century metrology. The Prism is a fully recursive, dual output, FIR filter: the computational burden is low and independent of data window length. Prism design is trivial, so that networks of Prisms can be created, whether at design time or autonomously in real time, to carry out a range of metrological tasks. Prism-based trackers can generate sample-by-sample estimates of frequency, phase and/or amplitude of a sinusoid. A simulation example of sensor validation  demonstrates how Prism signal processing can be used to autonomously detect, track, and compensate for an undesired frequency component in a frequency-based sensor.
|Publication status||Published - 14 Jun 2017|
|Event||175 years of the D.I. Mendeleyev Institute for Metrology (VNIIM) and National Measurement System - Park Inn Pulkovskaya Hotel, St. Petersburg , Russian Federation|
Duration: 14 Jun 2017 → 15 Jun 2017
|Conference||175 years of the D.I. Mendeleyev Institute for Metrology (VNIIM) and National Measurement System|
|Period||14/06/17 → 15/06/17|