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 "compressive spectral estimation with single snapshot esprit stability and resolution"):
  Abstract: In this paper Estimation of Signal Parameters via Rotational Invariance Techniques#N#         (ESPRIT) is developed for spectral estimation with single-snapshot measurement. Stability#N#         and resolution analysis with performance guarantee for Single-Snapshot ESPRIT (SS-ESPRIT)#N#         is the main focus. In the noise-free case, exact reconstruction is guaranteed for any#N#         arbitrary set of frequencies as long as the number of measurement data is at least twice#N#         the number of distinct frequencies to be recovered. In the presence of noise and under the#N#         assumption that the true frequencies are separated by at least two times Rayleigh's#N#         Resolution Length, an explicit error bound for frequency reconstruction is given in terms#N#         of the dynamic range and the separation of the frequencies. The separation and sparsity#N#         constraint compares favorably with those of the leading approaches to compressed sensing in#N#         the continuum.

Includes members:
  Member "music for single snapshot spectral estimation stability and super resolution":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "on the stable resolution limit of total variation regularization for spike deconvolution")
  Member "super resolution via superset selection and pruning":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "stable extrapolation of analytic functions")
  Member "towards a mathematical theory of super resolution":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "approximate support recovery of atomic line spectral estimation a tale of resolution and precision")
  Member "the music algorithm for sparse objects a compressed sensing analysis":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "music for multidimensional spectral estimation stability and super resolution")
  Member "coherence pattern guided compressive sensing with unresolved grids":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "conditioning of restricted fourier matrices and super resolution of music")

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)