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Partial band noise jamming rejection with S-CFFH/16-QAM optimum and suboptimum maximum-likelihood receivers over rayleigh fading channels with imperfect CSI., , , , and . MILCOM, page 842-847. IEEE, (2015)Binary Neural Networks for Wireless Interference Identification., , , and . IEEE Wirel. Commun. Lett., 11 (1): 23-27 (2022)Low-Bitwidth Convolutional Neural Networks for Wireless Interference Identification., , , , and . IEEE Trans. Cogn. Commun. Netw., 8 (2): 557-569 (2022)Multi-Agent Low-Bias Reinforcement Learning for Resource Allocation in UAV-Assisted Networks., , and . ICC Workshops, page 1011-1016. IEEE, (2022)Rejection of PBNJ with S-CFFH/BPSK ML receiver over frequency selective Rayleigh fading channels with imperfect CSI., , , , , and . PIMRC, page 835-839. IEEE, (2015)Performance analysis of coherently detected FFH/BPSK with maximal ratio combining receiver over Rayleigh fading channel with multitone jamming and imperfect channel estimation., , , and . ICNC, page 669-673. IEEE, (2014)Deep Deterministic Policy Gradient With Prioritized Sampling for Power Control., , , and . IEEE Access, (2020)Learning Dynamic Computing Resource Allocation in Convolutional Neural Networks for Wireless Interference Identification., , , , and . IEEE Trans. Veh. Technol., 72 (7): 8770-8782 (July 2023)Frequency estimation method based on iterative filtering and pulse-pairs., and . WCSP, page 1-5. IEEE, (2010)Time-Frequency Component-Aware Convolutional Neural Network for Wireless Interference Classification., , , , and . IEEE Wirel. Commun. Lett., 11 (12): 2487-2491 (2022)