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A Novel Low-Complexity Cyclostationary Feature Detection Us..:
Mathew, Sneha Gem
;
Samuel, Chris Prema
Circuits, Systems, and Signal Processing. 40 (2021) 12 - p. 6371-6386 , 2021
Link:
https://doi.org/10.1007/s00034-021-01771-0
RT Journal T1 <Title>A Novel Low-Complexity Cyclostationary Feature Detection Using Sub-Nyquist Samples for Wideband Spectrum Sensing</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1007_s00034-021-01771-0&Exemplar=1&LAN=DE A1 Mathew, Sneha Gem A1 Samuel, Chris Prema PB Springer Science and Business Media LLC YR 2021 SN 0278-081X SN 1531-5878 JF Circuits, Systems, and Signal Processing VO 40 IS 12 SP 6371 OP 6386 LK http://dx.doi.org/https://doi.org/10.1007/s00034-021-01771-0 DO https://doi.org/10.1007/s00034-021-01771-0 SF ELIB - SuUB Bremen
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