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The Prism: Efficient Signal Processing for the Internet of Things
IEEE Industrial Electronics Magazine ( IF 5.6 ) Pub Date : 2017-12-01 , DOI: 10.1109/mie.2017.2760108
Manus Henry , Felix Leach , Martin Davy , Oleg Bushuev , Michael Tombs , Feibiao Zhou , Salah Karout

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.

中文翻译:

The Prism:物联网的高效信号处理

提出了一种新的、网络化的信号处理方法,对设计和实时计算都很有效,以满足物联网 (IoT) 的要求。Prism 是一种新颖的有限脉冲响应 (FIR) 滤波器,它是完全递归的:每个样本的计算成本很低,并且与滤波器窗口长度无关。设计成本也低;任何能够运行基于棱镜的信号处理方案的设备也可以调整设计以匹配不断变化的需求。使用棱镜网络可以实现各种信号处理任务,从而为包括物联网在内的各种传感和监控应用提供有用的工具集。
更新日期:2017-12-01
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