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 "universal decoding for gaussian intersymbol interference channels"):
  Abstract: A universal decoding procedure is proposed for the intersymbol interference (ISI) Gaussian channels. The universality of the proposed decoder is in the sense of being independent of the various channel parameters, and at the same time, attaining the same random coding error exponent as the optimal maximum-likelihood (ML) decoder, which utilizes full knowledge of these unknown parameters. The proposed decoding rule can be regarded as a frequency domain version of the universal maximum mutual information (MMI) decoder. Contrary to previously suggested universal decoders for ISI channels, our proposed decoding metric can easily be evaluated.

Includes members:
  Member "asymptotic mmse analysis under sparse representation modeling":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "understanding phase transitions via mutual information and mmse")
  Member "analysis of mismatched estimation errors using gradients of partition functions":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "gaussian intersymbol interference channels with mismatch")
  Member "universal decoding for arbitrary channels relative to a given class of decoding metrics":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "on the bee identification error exponent with absentee bees")
  Member "communication over individual channels a general framework":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "gaussian intersymbol interference channels with mismatch")
  Member "the porosity of additive noise sequences":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "robust gaussian joint source channel coding with a staircase distortion noise profile")
  Member "universal communication part i modulo additive channels":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "universal decoding for source channel coding with side information")

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)