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 "on the capacity of channels with synchronization errors"):
  Abstract: We consider a new formulation of a class of synchronization error channels and derive analytical bounds and numerical estimates for the capacity of these channels. For the binary channel with only deletions, we obtain an expression for the symmetric information rate in terms of subsequence weights which reduces to a tight lower bound for small deletion probabilities. We are also able to exactly characterize the Markov-1 rate for the binary channel with only replications. For a channel that introduces deletions as well as replications of input symbols, we design two sequences of approximating channels with favourable properties. In particular, we parameterize the state space associated with these approximating channels and show that the information rates approach that of the deletion-replication channel as the state space grows. For the case of the channel where deletions and replications occur with the same probabilities, a stronger result in the convergence of mutual information rates is shown. The numerous advantages this new formulation presents are explored.

Includes members:
  Member "achievable rates for channels with deletions and insertions":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "an overview of capacity results for synchronization channels")
  Member "optimal coding for the deletion channel with small deletion probability":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "on the capacity of channels with timing synchronization errors")
  Member "write channel model for bit patterned media recording":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "graph based encoders and their performance for finite state channels with feedback")
  Member "coding for high density recording on a 1 d granular magnetic medium":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "on the capacity of channels with timing synchronization errors")
  Member "on the deletion channel with small deletion probability":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "an overview of capacity results for synchronization channels")
  Member "novel bounds on the capacity of the binary deletion channel":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "an overview of capacity results for synchronization channels")

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)