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 "the distortion rate function of cyclostationary gaussian processes"):
  Abstract: A general expression for the distortion rate function (DRF) of a cyclostationary Gaussian process in terms of its spectral properties is derived. This DRF is given by water-filling over the eigenvalues of a spectral density matrix associated with the polyphase components of the process. We use this expression to derive, in a closed form, the DRF of processes obtained by two important modulation techniques. We first show that the DRF of a bandlimited narrow-band Gaussian stationary process modulated by a deterministic sine-wave equals the DRF of the baseband process. We then show that the DRF of a Gaussian stationary process modulated by a train of pulses is given by reverse waterfilling over a PSD which is an aliased version of the energy of the pulse and the base process. Moreover, this last result is used to derive the indirect distortion-rate function of a stationary Gaussian process given its sub-Nyquist samples.

Includes members:
  Member "compress and estimate in multiterminal source coding":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "gaussian approximation of quantization error for estimation from compressed data")
  Member "distortion rate function of sub nyquist sampled gaussian sources":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "analog to digital compression a new paradigm for converting signals to bits")
  Member "shannon meets nyquist capacity of sampled gaussian channels":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "the capacity of memoryless channels with sampled cyclostationary gaussian noise")

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)