Abstract
Prism signal processing is a new FIR signal processing technique offering a fully recursive calculation and minimal design cost, which is well-suited to the requirements of IoT sensing. This paper describes a family of low pass filter designs using one or more layers of Prisms, where the frequency response has minimal stopband gain. Combined with heterodyning and Prism-based tracking, these filters provide flexible and powerful real-time tracking of signal component properties for use in measurement applications.
Original language | English |
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Title of host publication | 2020 IEEE International Workshop on Metrology for Industry 4.0 & IoT |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 401-406 |
Number of pages | 6 |
ISBN (Electronic) | 978-1-7281-4892-2 |
ISBN (Print) | 978-1-7281-4893-9 |
DOIs | |
Publication status | Published - 10 Jul 2020 |
Externally published | Yes |
Event | 2020 IEEE INTERNATIONAL WORKSHOP ON Metrologyfor Industry4.0 and IoT - Rome, Italy Duration: 3 Jun 2020 → 5 Jun 2020 http://www.metroind40iot.org/ |
Publication series
Name | 2020 IEEE International Workshop on Metrology for Industry 4.0 and IoT, MetroInd 4.0 and IoT 2020 - Proceedings |
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Workshop
Workshop | 2020 IEEE INTERNATIONAL WORKSHOP ON Metrologyfor Industry4.0 and IoT |
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Abbreviated title | METROIND4.0 |
Country/Territory | Italy |
City | Rome |
Period | 3/06/20 → 5/06/20 |
Internet address |
Keywords
- Industrial cyber-physical systems
- Prism signal processing
- Recursive FIR filtering
- signal tracking
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Networks and Communications
- Computer Science Applications
- Electrical and Electronic Engineering
- Safety, Risk, Reliability and Quality
- Instrumentation