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

Manus Henry

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

Manus Henry

University of Oxford

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

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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 language	English
Title of host publication	Conference Proceedings
Subtitle of host publication	The 3rd Conference on MicroFluidic Handling Systems
Publisher	MFHS
Pages	98-101
Number of pages	4
Publication status	Published - 4 Oct 2017
Externally published	Yes
Event	The 3rd Conference on MicroFluidic Handling Systems - Enschede, Netherlands Duration: 4 Oct 2017 → 6 Oct 2017 Conference number: 3 https://www.utwente.nl/en/eemcs/mfhs2017/

Conference

Conference	The 3rd Conference on MicroFluidic Handling Systems
Abbreviated title	MFHS 2017
Country/Territory	Netherlands
City	Enschede
Period	4/10/17 → 6/10/17
Internet address	https://www.utwente.nl/en/eemcs/mfhs2017/

Keywords

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

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MFHS2017_Extended Paper MHenryFinal published version, 365 KBLicence: Unspecified

Cite this

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

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. ",

keywords = "FIR filtering, recursive filtering, resonant systems, Coriolis mass flow metering, automotive fuel injection monitoring",

author = "Manus Henry",

year = "2017",

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language = "English",

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N2 - 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.

AB - 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.

KW - FIR filtering

KW - recursive filtering

KW - resonant systems

KW - Coriolis mass flow metering

KW - automotive fuel injection monitoring

UR - https://www.utwente.nl/en/eemcs/mfhs2017/mfhs2017-conference-proceedings.pdf

M3 - Conference proceeding

SP - 98

EP - 101

BT - Conference Proceedings

PB - MFHS

T2 - The 3rd Conference on MicroFluidic Handling Systems

Y2 - 4 October 2017 through 6 October 2017

ER -

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

Abstract

Conference

Keywords

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