human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "waterfilling theorems in the time frequency plane for the heat channel and a related source"):
  Abstract: The capacity of the heat channel, a linear time-varying (LTV) filter with additive white Gaussian noise (AWGN), is characterized by waterfilling in the time-frequency plane. Similarly, the rate distortion function for a related nonstationary source is characterized by reverse waterfilling in the time-frequency plane. The source is formed by the white Gaussian noise response of the same LTV filter as before. The proofs of both waterfilling theorems rely on a specific Szego theorem for a positive definite operator associated with the filter. An essentially self-contained proof of the Szego theorem is given. The waterfilling theorems compare well with classical results of Gallager and Berger. In case of the nonstationary source it is observed that the part of the classical power spectral density (PSD) is taken by the Wigner-Ville spectrum (WVS).

Includes members:
  Member "the szeg o asymptotics for doubly dispersive gaussian channels":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "coding theorem and converse for abstract channels with time structure and memory")
  Member "eigenvalue estimates and mutual information for the linear time varying channel":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "waterfilling theorems for linear time varying channels and related nonstationary sources")
  Member "on the capacity of the heat channel waterfilling in the time frequency plane and a c node relationship":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "capacity and normalized optimal detection error in gaussian channels")

Question: Please tell me which class the source paper 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)