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 "universal spatiotemporal sampling sets for discrete spatially invariant evolution processes"):
  Abstract: Let    $(I,+)$    be a finite abelian group and    $\mathbf {A}$    be a circular convolution operator on    $\ell ^{2}(I)$   . The problem under consideration is how to construct minimal    $\Omega \subset I$    and    $l_{i}$    such that    $Y=\{\mathbf {e}_{i}, \mathbf {A}\mathbf {e}_{i}, \cdots , \mathbf {A}^{l_{i}}\mathbf {e}_{i}: i\in \Omega \}$    is a frame for    $\ell ^{2}(I)$   , where    $\{\mathbf {e}_{i}: i\in I\}$    is the canonical basis of    $\ell ^{2}(I)$   . This problem is motivated by the spatiotemporal sampling problem in discrete spatially invariant evolution processes. We will show that the cardinality of    $\Omega $    should be at least equal to the largest geometric multiplicity of eigenvalues of    $\mathbf {A}$   , and consider the universal spatiotemporal sampling sets    $(\Omega , l_{i})$    for convolution operators whose eigenvalues subject to the same largest geometric multiplicity. We will give an algebraic characterization for such sampling sets and show how this problem is linked with sparse signal processing theory and polynomial interpolation theory.

Includes members:
  Member "system identification in dynamical sampling":
    also connected through other hyperedges:
      (none)
  Member "exact reconstruction of signals in evolutionary systems via spatiotemporal trade off":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "adapted decimation on finite frames for arbitrary orders of sigma delta quantization")
  Member "spatially distributed sampling and reconstruction":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "stable phaseless sampling and reconstruction of real valued signals with finite rate of innovations")
  Member "discrete sampling and interpolation universal sampling sets for discrete bandlimited spaces":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "convolution idempotents with a given zero set")
  Member "sparse recovery from combined fusion frame measurements":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "sparse recovery of fusion frame structured signals")

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)