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: "on time variant distortions in multicarrier transmission with application to frequency offsets and phase noise"
  Abstract: Phase noise and frequency offsets are, due to their time-variant behavior, one of the most limiting disturbances in practical orthogonal frequency-division multiplexing (OFDM) designs, and therefore, intensively studied by many authors. In this paper, we present a generalized framework for the prediction of uncoded system performance in the presence of time-variant distortions, including the transmitter and receiver pulse shapes, as well as the channel. Therefore, unlike existing studies, our approach can be employed for more general multicarrier schemes. To show the usefulness of our approach, we apply the results to OFDM in the context of frequency offset and Wiener phase noise, yielding improved bounds on the uncoded performance. In particular, we obtain exact formulas for the averaged performance in additive white Gaussian noise and time-invariant multipath channels.

Connected through hyperedge HE-1 (induced by source paper "pulse shaping localization and the approximate eigenstructure of ltv channels special paper"):
  with members:
    - "on the approximate eigenstructure of time varying channels"
    - "soft output demodulation on frequency selective rayleigh fading channels using ar channel models"
    - "weighted norms of ambiguity functions and wigner distributions"

Connected through hyperedge HE-2 (induced by source paper "soft output demodulation on frequency selective rayleigh fading channels using ar channel models"):
  with members:
    - "weighted norms of ambiguity functions and wigner distributions"
    - "a group theoretic approach to the wssus pulse design problem"
    - "precoding for 2x2 doubly dispersive wssus channels"

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)