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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

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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 languageEnglish
Pages (from-to)22-32
Number of pages11
JournalIEEE Industrial Electronics Magazine
Volume11
Issue number4
DOIs
Publication statusPublished - 27 Dec 2017
Externally publishedYes

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