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 "second generation curvelets on the sphere"):
  Abstract: Curvelets are efficient to represent highly anisotropic signal content, such as a local linear and curvilinear structure. First-generation curvelets on the sphere, however, suffered from blocking artefacts. We present a new second-generation curvelet transform, where scale-discretized curvelets are constructed directly on the sphere. Scale-discretized curvelets exhibit a parabolic scaling relation, are well localized in both spatial and harmonic domains, support the exact analysis and synthesis of both scalar and spin signals, and are free of blocking artefacts. We present fast algorithms to compute the exact curvelet transform, reducing computational complexity from   $\mathcal {O}(L^5)$   to    $\mathcal {O}(L^3\log _{2}{L})$   for signals band limited at   $L$  . The implementation of these algorithms is made publicly available. Finally, we present an illustrative application demonstrating the effectiveness of curvelets for representing directional curve-like features in natural spherical images.

Includes members:
  Member "localisation of directional scale discretised wavelets on the sphere":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "divergence free polar wavelets for the analysis and representation of fluid flows")
  Member "directional spin wavelets on the sphere":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "localisation of directional scale discretised wavelets on the sphere")
  Member "a novel sampling theorem on the rotation group":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "localisation of directional scale discretised wavelets on the sphere")
  Member "ridgelet transform on the sphere":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "sparse image reconstruction on the sphere analysis and synthesis")
  Member "on the computation of directional scale discretized wavelet transforms on the sphere":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "localisation of directional scale discretised wavelets on the sphere")
  Member "fourier laguerre transform convolution and wavelets on the ball":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "localisation of directional scale discretised wavelets on the sphere")
  Member "s2let a code to perform fast wavelet analysis on the sphere":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "localisation of directional scale discretised wavelets on the sphere")
  Member "exact wavelets on the ball":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "localisation of directional scale discretised wavelets on the sphere")

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)