Prism Signal Processing: A Recursive Fir Technique Applied To The Efficient Tracking Of Resonant Sensor Systems

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Abstract

A new technique called Prism signal processing has been developed which offers an FIR response, including a linear phase characteristic, while being a fully recursive calculation. The Prism signal processing block accepts a time series input and generate either one output or two orthogonal outputs, where the computational requirement is low and independent of data window length. A Coriolis flow metering example is used to illustrate that Prism signal processing is suited to a wide range of resonant sensor systems, and can be used to provide a step change in measurement update rates compared with conventional FIR techniques.
Original languageEnglish
Title of host publicationConference Proceedings
Subtitle of host publicationThe 3rd Conference on MicroFluidic Handling Systems
PublisherMFHS
Pages98-101
Number of pages4
Publication statusPublished - 4 Oct 2017
Externally publishedYes
EventThe 3rd Conference on MicroFluidic Handling Systems - Enschede, Netherlands
Duration: 4 Oct 20176 Oct 2017
Conference number: 3
https://www.utwente.nl/en/eemcs/mfhs2017/

Conference

ConferenceThe 3rd Conference on MicroFluidic Handling Systems
Abbreviated titleMFHS 2017
CountryNetherlands
CityEnschede
Period4/10/176/10/17
Internet address

Keywords

  • FIR filtering
  • recursive filtering
  • resonant systems
  • Coriolis mass flow metering
  • automotive fuel injection monitoring

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