An Introduction to Prism Signal Processing Applied to Sensor Validation

This paper introduces the Prism, a new type of signal processing block, as a contribution 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 netw...

Full description

Saved in:
Bibliographic Details
Published in:Measurement techniques 2018-03, Vol.60 (12), p.1233-1237
Main Author: Henry, M. P.
Format: Article
Language:English
Subjects:
Analytical Chemistry
Characterization and Evaluation of Materials
Computer simulation
Digital signal processors
Measurement Science and Instrumentation
Physical Chemistry
Physics
Physics and Astronomy
Prisms
Sensors
Signal processing
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This paper introduces the Prism, a new type of signal processing block, as a contribution 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.
ISSN:0543-1972
1573-8906
DOI:10.1007/s11018-018-1345-1