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.
Henry, M., Leach, F., Davy, M., Bushuev, O. Y., Tombs, M., Zhou, F., & Karout, S. (2017). The Prism: Efficient Signal Processing for the Internet of Things. IEEE Industrial Electronics Magazine, 11(4), 22-32. https://doi.org/10.1109/MIE.2017.2760108