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: "a generalization of threshold saturation application to spatially coupled bicm id"
  Abstract: Spatial coupling was proved to improve the belief-propagation (BP) performance up to the maximum-a-posteriori (MAP) performance. This paper addresses an extended class of spatially coupled (SC) systems. A potential function is derived for characterizing a lower bound on the BP performance of the extended SC systems, and shown to be different from the potential for the conventional SC systems. This may imply that the BP performance for the extended SC systems does not coincide with the MAP performance for the corresponding uncoupled system. SC bit-interleaved coded modulation with iterative decoding (BICM-ID) is also investigated as an application of the extended SC systems.

Connected through hyperedge HE-1 (induced by source paper "triggering wave like convergence of tail biting spatially coupled ldpc codes"):
  with members:
    - "optimized bit mappings for spatially coupled ldpc codes over parallel binary erasure channels"
    - "terminated and tailbiting spatially coupled codes with optimized bit mappings for spectrally efficient fiber optical systems"
    - "on the convergence speed of spatially coupled ldpc ensembles"
    - "performance of spatially coupled ldpc codes and threshold saturation over bicm channels"
    - "a simple proof of threshold saturation for coupled scalar recursions"
    - "spatially coupled ensembles universally achieve capacity under belief propagation"
    - "threshold saturation via spatial coupling why convolutional ldpc ensembles perform so well over the bec"
    - "threshold saturation on bms channels via spatial coupling"

Connected through hyperedge HE-2 (induced by source paper "triggering wave like convergence of tail biting spatially coupled ldpc codes single and dual channel setup"):
  with members:
    - "terminated and tailbiting spatially coupled codes with optimized bit mappings for spectrally efficient fiber optical systems"
    - "a simple proof of threshold saturation for coupled scalar recursions"
    - "spatially coupled ensembles universally achieve capacity under belief propagation"
    - "threshold saturation on bms channels via spatial coupling"

Connected through hyperedge HE-3 (induced by source paper "iterative lmmse channel estimation multiuser detection and decoding via spatial coupling"):
  with members:
    - "accelerating iterative detection for spatially coupled systems by collaborative training"
    - "approaching the rate distortion limit with spatial coupling belief propagation and decimation"
    - "iterative multiuser detection and decoding with spatially coupled interleaving"
    - "on an achievable rate of large rayleigh block fading mimo channels with no csi"
    - "thresholds of spatially coupled systems via lyapunov s method"
    - "a simple proof of threshold saturation for coupled scalar recursions"
    - "large system analysis of joint channel and data estimation for mimo ds cdma systems"
    - "a phenomenological study on threshold improvement via spatial coupling"

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)