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 journalArticlepeer-review

26 Citations (Scopus)
80 Downloads (Pure)


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 languageEnglish
Pages (from-to)22-32
Number of pages11
JournalIEEE Industrial Electronics Magazine
Issue number4
Publication statusPublished - 27 Dec 2017
Externally publishedYes


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