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 parameter optimization of product codes for iterative bounded distance decoding with scaled reliability"):
  Abstract: We use density evolution to optimize the parameters of binary product codes (PCs) decoded based on the recently introduced iterative bounded distance decoding with scaled reliability. We show that binary PCs with component codes of 3-bit error correcting capability provide the best performance-complexity trade-off.

Includes members:
  Member "binary message passing decoding of product codes based on generalized minimum distance decoding":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "on product codes with probabilistic amplitude shaping for high throughput fiber optic systems")
  Member "binary message passing decoding of product like codes":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "on product codes with probabilistic amplitude shaping for high throughput fiber optic systems")
  Member "low complexity concatenated ldpc staircase codes":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "binary message passing decoding of product like codes")
  Member "iterative bounded distance decoding of product codes with scaled reliability":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "on product codes with probabilistic amplitude shaping for high throughput fiber optic systems")
  Member "energy efficient soft assisted product decoders":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "on product codes with probabilistic amplitude shaping for high throughput fiber optic systems")
  Member "staircase codes fec for 100 gb s otn":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "finite length scaling of spatially coupled ldpc codes under window decoding over the bec")
  Member "approaching capacity at high rates with iterative hard decision decoding":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "lattice coding for downlink multiuser transmission")

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)