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 "spatially coupled codes and threshold saturation on intersymbol interference channels"):
  Abstract: Recently, it has been observed that terminated low-density-parity-check (LDPC) convolutional codes (or spatially-coupled codes) appear to approach capacity universally across the class of binary memoryless channels. This is facilitated by the “threshold saturation” effect whereby the belief-propagation (BP) threshold of the spatially-coupled ensemble is boosted to the maximum a-posteriori (MAP) threshold of the underlying constituent ensemble. In this paper, we consider the universality of spatially-coupled codes over intersymbol-interference (ISI) channels under joint iterative decoding. More specifically, we empirically show that threshold saturation also occurs for the considered problem. This can be observed by first identifying the EXIT curve for erasure noise and the GEXIT curve for general noise that naturally obey the general area theorem. From these curves, the corresponding MAP and the BP thresholds are then numerically obtained. With the fact that regular LDPC codes can achieve the symmetric information rate (SIR) under MAP decoding, spatially-coupled codes with joint iterative decoding can universally approach the SIR of ISI channels. For the dicode erasure channel, Kudekar and Kasai recently reported very similar results based on EXIT-like curves [1].

Includes members:
  Member "windowed decoding of protograph based ldpc convolutional codes over erasure channels":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "finite length scaling of spatially coupled ldpc codes under window decoding over the bec")
  Member "threshold saturation on channels with memory via spatial coupling":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "spatially coupled ldpc codes constructed from protographs")
  Member "exact free distance and trapping set growth rates for ldpc convolutional codes":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "probabilistic mimo symbol detection with expectation consistency approximate inference")
  Member "threshold saturation via spatial coupling why convolutional ldpc ensembles perform so well over the bec":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "capacity achieving spatially coupled sparse superposition codes with amp decoding")
  Member "universality for the noisy slepian wolf problem via spatial coupling":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "performance improvement of iterative multiuser detection for large sparsely spread cdma systems by spatial coupling")
  Member "coupled graphical models and their thresholds":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "rank one matrix estimation analysis of algorithmic and information theoretic limits by the spatial coupling method")
  Member "universal codes for the gaussian mac via spatial coupling":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "compressed coding amp based decoding and analog spatial coupling")
  Member "spatially coupled codes over the multiple access channel":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "ldpc coded multiuser shaping for the gaussian multiple access channel")

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)