The Prism: Efficient Signal Processing for the Internet of Things
Manus Patrick Henry, Felix C. P. Leach, Martin Davy, Oleg Yu. Bushuev, Michael Tombs, Feibiao Zhou, Salah A. Karout · IEEE Industrial Electronics Magazine · 2017
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.