The Prism: Efficient Signal Processing for the Internet of Things

Manus Henry; Felix Leach; Martin Davy; Oleg Y. Bushuev; Michael Tombs; Feibiao Zhou; Salah Karout

doi:10.1109/MIE.2017.2760108

The Prism: Efficient Signal Processing for the Internet of Things

Manus Henry, Felix Leach, Martin Davy, Oleg Y. Bushuev, Michael Tombs, Feibiao Zhou, Salah Karout

Research output: Contribution to journal › Article › peer-review

27 Citations (Scopus)

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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	https://doi.org/10.1109/MIE.2017.2760108
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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AU - Zhou, Feibiao

AU - Karout, Salah

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The Prism: Efficient Signal Processing for the Internet of Things

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