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 "overlapped circular sc ldpc codes and their modified coupled codes"):
  Abstract: In this paper, overlapped circular spatially coupled low-density parity-check codes (OC-LDPC) are proposed and their modified coupled codes are derived, which show more improved performance compared with the spatially coupled low-density parity-check (SC-LDPC) codes. It is known that the SC-LDPC codes show asymptotically good performance when the chain length is sufficiently large. However, a large chain length requires a large number of iterations for decoding, which is often ignored in asymptotic analysis but it causes large decoding complexity in the decoding process. The proposed OC-LDPC codes reduce the decoding complexity while maintaining good asymptotic properties of the SC-LDPC codes. The improvement in the decoding complexity comes from that the proposed code is split into two SC-LDPC codes with shorter chain length during the decoding process. Thus, the OC-LDPC code can be decoded with lower iteration numbers required for decoding of two splitted SC-LDPC codes. Also, we design finite-length protograph-based codes for the proposed codes and it is shown that the proposed codes have superior finite-length code performances than the SC-LDPC codes.

Includes members:
  Member "spatially coupled ldpc codes constructed from protographs":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "capacity achieving spatially coupled sparse superposition codes with amp decoding")
  Member "a scaling law to predict the finite length performance of spatially coupled ldpc codes":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "finite length scaling of spatially coupled ldpc codes under window decoding over the bec")
  Member "on the convergence speed of spatially coupled ldpc ensembles":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "spatially coupled ldpc codes with non uniform coupling for improved decoding speed")
  Member "a simple proof of threshold saturation for coupled scalar recursions":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "peeling close to the orientability threshold spatial coupling in hashing based data structures")
  Member "spatially coupled ensembles universally achieve capacity under belief propagation":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "capacity achieving spatially coupled sparse superposition codes with amp decoding")
  Member "threshold saturation via spatial coupling why convolutional ldpc ensembles perform so well over the bec":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "capacity achieving spatially coupled sparse superposition codes with amp decoding")
  Member "connecting spatially coupled ldpc code chains":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "multi dimensional spatially coupled code design enhancing the cycle properties")
  Member "deriving good ldpc convolutional codes from ldpc block codes":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "analysis and optimization of tail biting spatially coupled protograph ldpc codes for bicm id systems")

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)