Abstract
Prism signal processing is a new FIR filtering technique offering a fully recursive calculation and simple filter design. Its low design and computational cost are particularly suited to the autonomous signal processing requirements for the Internet of Things. This paper describes how arbitrarily narrow bandpass filters may be designed and implemented using a chain of six Prisms. In one simulation, a design with 40 MHz sampling rate, 1 MHz central frequency and 0.1 Hz bandwidth results in an FIR filter of length 771 million samples. This filter can be evaluated in 0.39 s per sample on a desktop computer: to achieve this update rate using a conventional non-recursive FIR calculation would require supercomputer resources.
| Original language | English |
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| Title of host publication | IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 2748-2753 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781509066841 |
| DOIs | |
| Publication status | Published - 26 Dec 2018 |
| Externally published | Yes |
| Event | 44th Annual Conference of the IEEE Industrial Electronics Society (IECON 2018) - Washington, United States Duration: 21 Oct 2018 → 23 Oct 2018 Conference number: 44th http://www.iecon2018.org/ |
Publication series
| Name | Proceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society |
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Conference
| Conference | 44th Annual Conference of the IEEE Industrial Electronics Society (IECON 2018) |
|---|---|
| Abbreviated title | IECON 2018 |
| Country/Territory | United States |
| City | Washington |
| Period | 21/10/18 → 23/10/18 |
| Internet address |
Keywords
- Bandpass filtering
- Industrial cyber-physical systems
- Recursive FIR filtering
ASJC Scopus subject areas
- Energy Engineering and Power Technology
- Electrical and Electronic Engineering
- Industrial and Manufacturing Engineering
- Control and Optimization