Abstract
A new, networked approach to signal processing, efficient for both design and real-time computation, is proposed to match the requirements of the Internet of Things (IoT). The Prism is a novel finite impulse response (FIR) filter, which is fully recursive: the computational cost per sample is low and independent of the filter window length. The design cost is also low; any device capable of running a Prism-based signal processing scheme may also adapt the design to match changing requirements. Various signal processing tasks can be implemented using networks of Prisms, thereby providing a useful tool set for a wide range of sensing and monitoring applications, including the IoT.
| Original language | English |
|---|---|
| Pages (from-to) | 22-32 |
| Number of pages | 11 |
| Journal | IEEE Industrial Electronics Magazine |
| Volume | 11 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 27 Dec 2017 |
| Externally published | Yes |
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Manus Henry
- Research Centre for Fluid and Complex Systems - Professor in Engineering Fluid Mechanics
Person: Teaching and Research
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