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Quantified Spectrum Sharing: Motivation, Approach, and Benefits., , and . CoRR, (2016)Signal interception: performance advantages of cyclic-feature detectors., and . IEEE Trans. Commun., 40 (1): 149-159 (1992)On the Cyclostationarity of OFDM and Single Carrier Linearly Digitally Modulated Signals in Time Dispersive Channels: Theoretical Developments and Application., , , , , and . IEEE Trans. Wirel. Commun., 9 (8): 2588-2599 (2010)The cumulant theory of cyclostationary time-series. I. Foundation., and . IEEE Trans. Signal Process., 42 (12): 3387-3408 (1994)Paramorphic multicarrier communications for interference mitigation., , and . EURASIP J. Adv. Signal Process., (2018)On improving serviceability with quantified dynamic spectrum access., , and . DySPAN, page 553-564. IEEE, (2014)MUSE: A Methodology for Quantifying Spectrum Usage., , and . GLOBECOM, page 1-7. IEEE, (2016)ICARUS: Learning on IQ and Cycle Frequencies for Detecting Anomalous RF Underlay Signals., , , , and . INFOCOM, page 1-10. IEEE, (2023)Detection and source location of weak cyclostationary signals: simplifications of the maximum-likelihood receiver., and . IEEE Trans. Commun., 41 (6): 905-916 (1993)Spectrum sensing for cognitive radio: A signal-processing perspective on signal-statistics exploitation., and . ICNC, page 563-568. IEEE Computer Society, (2012)