The Prism – Efficient signal processing for IoT applications

A new, networked approach to signal processing, efficient for both design and real-time computation, is proposed to match the requirements of the IoT. The Prism is a novel FIR filter which is fully recursive: the computational cost per sample is low and independent of the filter window length. The d...

Full description

Bibliographic Details
Main Authors: Henry, M, Leach, F, Davy, M, Bushuev, O, Tombs, M, Zhou, F, Karout, S
Format: Journal article
Published: Institute of Electrical and Electronics Engineers 2017
_version_ 1797093514652155904
author Henry, M
Leach, F
Davy, M
Bushuev, O
Tombs, M
Zhou, F
Karout, S
author_facet Henry, M
Leach, F
Davy, M
Bushuev, O
Tombs, M
Zhou, F
Karout, S
author_sort Henry, M
collection OXFORD
description A new, networked approach to signal processing, efficient for both design and real-time computation, is proposed to match the requirements of the IoT. The Prism is a novel 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 it to match changing requirements. Various signal processing tasks can be implemented using networks of Prisms, thereby providing a useful toolset for a wide range of sensing and monitoring applications, including the IoT.
first_indexed 2024-03-07T04:01:35Z
format Journal article
id oxford-uuid:c4c057e8-095b-49c5-9be7-8b010fcbddca
institution University of Oxford
last_indexed 2024-03-07T04:01:35Z
publishDate 2017
publisher Institute of Electrical and Electronics Engineers
record_format dspace
spelling oxford-uuid:c4c057e8-095b-49c5-9be7-8b010fcbddca2022-03-27T06:25:53ZThe Prism – Efficient signal processing for IoT applicationsJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:c4c057e8-095b-49c5-9be7-8b010fcbddcaSymplectic Elements at OxfordInstitute of Electrical and Electronics Engineers2017Henry, MLeach, FDavy, MBushuev, OTombs, MZhou, FKarout, SA new, networked approach to signal processing, efficient for both design and real-time computation, is proposed to match the requirements of the IoT. The Prism is a novel 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 it to match changing requirements. Various signal processing tasks can be implemented using networks of Prisms, thereby providing a useful toolset for a wide range of sensing and monitoring applications, including the IoT.
spellingShingle Henry, M
Leach, F
Davy, M
Bushuev, O
Tombs, M
Zhou, F
Karout, S
The Prism – Efficient signal processing for IoT applications
title The Prism – Efficient signal processing for IoT applications
title_full The Prism – Efficient signal processing for IoT applications
title_fullStr The Prism – Efficient signal processing for IoT applications
title_full_unstemmed The Prism – Efficient signal processing for IoT applications
title_short The Prism – Efficient signal processing for IoT applications
title_sort prism efficient signal processing for iot applications
work_keys_str_mv AT henrym theprismefficientsignalprocessingforiotapplications
AT leachf theprismefficientsignalprocessingforiotapplications
AT davym theprismefficientsignalprocessingforiotapplications
AT bushuevo theprismefficientsignalprocessingforiotapplications
AT tombsm theprismefficientsignalprocessingforiotapplications
AT zhouf theprismefficientsignalprocessingforiotapplications
AT karouts theprismefficientsignalprocessingforiotapplications
AT henrym prismefficientsignalprocessingforiotapplications
AT leachf prismefficientsignalprocessingforiotapplications
AT davym prismefficientsignalprocessingforiotapplications
AT bushuevo prismefficientsignalprocessingforiotapplications
AT tombsm prismefficientsignalprocessingforiotapplications
AT zhouf prismefficientsignalprocessingforiotapplications
AT karouts prismefficientsignalprocessingforiotapplications