caa a22 4500 606205470 CHVBK 20210128101007.0 cr unu---uuuuu 210128e20151201xx s 000 0 eng 10.1007/s00034-015-0041-5 doi (NATIONALLICENCE)springer-10.1007/s00034-015-0041-5 A CORDIC-Based Low-Power Statistical Feature Computation Engine for WSN Applications [Elektronische Daten] [Dwaipayan Biswas, Koushik Maharatna] In this paper, we present a carry-save arithmetic- based coordinate rotation digital computer (CORDIC) engine for computing eight fundamental time-domain statistical features. These features are used commonly in association with major classifiers in remote health monitoring systems with an aim of executing them on a node of wireless sensor network (WSN). The engine computes all the eight features sequentially in $$3n$$ 3 n clock cycles where $$n$$ n is the number of data samples. We further present a comparative analysis of the hardware complexity of our proposed architecture with an alternate architecture which does not use CORDIC (instead uses standalone array multiplier, divider, square rooter and logarithm converter). The hardware complexity of the two architectures presented in terms of full adder count reflects the effectiveness of using CORDIC for the given application. The engine was synthesized using the STMicroelectronics 130nm technology library and occupied 205K NAND2 equivalent cell area and consumed 1nW dynamic power @ 50Hz as estimated using prime time. Therefore, the design can be applicable for low-power real-time operations within a WSN node. Springer Science+Business Media New York, 2015 Wireless sensor network nationallicence CORDIC nationallicence Statistical feature extraction nationallicence Classification nationallicence Low power nationallicence Biswas Dwaipayan Faculty of Physical Sciences and Engineering, University of Southampton, SO17 1BJ, Southampton, UK aut Maharatna Koushik Faculty of Physical Sciences and Engineering, University of Southampton, SO17 1BJ, Southampton, UK aut Circuits, Systems, and Signal Processing Springer US; http://www.springer-ny.com 34/12(2015-12-01), 4011-4028 0278-081X 34:12<4011 2015 34 34 https://doi.org/10.1007/s00034-015-0041-5 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00034-015-0041-5 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Biswas Dwaipayan Faculty of Physical Sciences and Engineering, University of Southampton, SO17 1BJ, Southampton, UK aut NATIONALLICENCE 700 1- Maharatna Koushik Faculty of Physical Sciences and Engineering, University of Southampton, SO17 1BJ, Southampton, UK aut NATIONALLICENCE 773 0- Circuits, Systems, and Signal Processing Springer US; http://www.springer-ny.com 34/12(2015-12-01), 4011-4028 0278-081X 34:12<4011 2015 34 34