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 "the statistical restricted isometry property and the wigner semicircle distribution of incoherent dictionaries"):
  Abstract: In this article we present a statistical version of the Candes-Tao restricted isometry property (SRIP for short) which holds in general for any incoherent dictionary which is a disjoint union of orthonormal bases. In addition, we show that, under appropriate normalization, the eigenvalues of the associated Gram matrix fluctuate around 1 according to the Wigner semicircle distribution. The result is then applied to various dictionaries that arise naturally in the setting of finite harmonic analysis, giving, in particular, a better understanding on a remark of Applebaum-Howard-Searle-Calderbank concerning RIP for the Heisenberg dictionary of chirp like functions.

Includes members:
  Member "incoherent dictionaries and the statistical restricted isometry property":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "analog coding frame work")
  Member "the finite harmonic oscillator and its associated sequences":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "low coherence frames from group fourier matrices")
  Member "deterministic designs with deterministic guarantees toeplitz compressed sensing matrices sequence designs and system identification":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "state of the art and prospects of structured sensing matrices in compressed sensing")
  Member "efficient and robust compressed sensing using high quality expander graphs":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "vanishingly sparse matrices and expander graphs with application to compressed sensing")
  Member "on some deterministic dictionaries supporting sparsity":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "on the construction of finite oscillator dictionary")
  Member "the finite harmonic oscillator and its applications to sequences communication and radar":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "the incidence and cross methods for efficient radar detection")
  Member "efficient compressed sensing using lossless expander graphs with fast bilateral quantum recovery algorithm":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "deterministic compressed sensing matrices from multiplicative character sequences")
  Member "on the diagonalization of the discrete fourier transform":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "on the construction of finite oscillator dictionary")

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)