human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "separation of signals consisting of amplitude and instantaneous frequency rrc pulses using snr uniform training"
  Abstract: This work presents sample mean and sample variance based features that distinguish continuous phase FSK from QAM and PSK modulations. Root raised cosine pulses are used for signal generation. Support vector machines are employed for signals separation. They are trained for only one value of SNR and used to classify the signals from a wide range of SNR. A priori information about carrier amplitude, carrier phase, carrier offset, roll-off factor and initial symbol phase is relaxed. Effectiveness of the method is tested by observing the joint effects of AWGN, carrier offset, lack of symbol and sampling synchronization, and fast fading.

Connected through hyperedge HE-1 (induced by source paper "coexistence analysis between radar and cellular system in los channel"):
  with members:
    - "qpsk waveform for mimo radar with spectrum sharing constraints"
    - "target detection performance of spectrum sharing mimo radars"
    - "overlapped mimo radar waveform design for coexistence with communication systems"
    - "radar precoder design for spectral coexistence with coordinated multi point comp system"
    - "a utility proportional fairness resource allocation in spectrally radar coexistent cellular networks"
    - "on the impact of time varying interference channel on the spatial approach of spectrum sharing between s band radar and communication system"

Connected through hyperedge HE-2 (induced by source paper "delay optimal joint scheduling and power control for cognitive radio uplinks"):
  with members:
    - "joint scheduling and power control for delay guarantees in heterogeneous cognitive radios"
    - "delay optimal scheduling and power control for instantaneous interference limited crs"
    - "throughput optimization in multichannel cognitive radios with hard deadline constraints"
    - "dynamic scheduling for delay guarantees for heterogeneous cognitive radio users"

Connected through hyperedge HE-3 (induced by source paper "supervised machine learning for signals having rrc shaped pulses"):
  with members:
    - "dynamic scheduling for delay guarantees for heterogeneous cognitive radio users"
    - "throughput maximization in multi channel cognitive radio systems with delay constraints"

Question: Please tell me which class the center node belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.IT(Information Theory)