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 "phaseless sampling and reconstruction of real valued signals in shift invariant spaces"):
  Abstract: Sampling in shift-invariant spaces is a realistic model for signals with smooth spectrum. In this paper, we consider phaseless sampling and reconstruction of real-valued signals in a shift-invariant space from their magnitude measurements on the whole Euclidean space and from their phaseless samples taken on a discrete set with finite sampling density. We introduce an undirected graph to a signal and use connectivity of the graph to characterize whether the signal can be determined, up to a sign, from its magnitude measurements on the whole Euclidean space. Under the local complement property assumption on a shift-invariant space, we find a discrete set with finite sampling density such that signals in the shift-invariant space, that are determined from their magnitude measurements on the whole Euclidean space, can be reconstructed in a stable way from their phaseless samples taken on that discrete set. In this paper, we also propose a reconstruction algorithm which provides a suboptimal approximation to the original signal when its noisy phaseless samples are available only. Finally, numerical simulations are performed to demonstrate the robust reconstruction of box spline signals from their noisy phaseless samples.

Includes members:
  Member "phase retrieval from multiple window short time fourier measurements":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "random phaseless sampling for causal signals in shift invariant spaces a zero distribution perspective")
  Member "phase retrieval from the magnitudes of affine linear measurements":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "the minimal measurement number problem in phase retrieval a review of recent developments")
  Member "corruption robust phase retrieval via linear programming":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "solving equations of random convex functions via anchored regression")
  Member "phase retrieval of real valued signals in a shift invariant space":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "random phaseless sampling for causal signals in shift invariant spaces a zero distribution perspective")
  Member "spatially distributed sampling and reconstruction":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "stable phaseless sampling and reconstruction of real valued signals with finite rate of innovations")
  Member "phase retrieval an overview of recent developments":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "phase retrieval of low rank matrices by anchored regression")
  Member "phaseless signal recovery in infinite dimensional spaces using structured modulations":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "conjugate phase retrieval in paley wiener space")
  Member "phase retrieval from low rate samples":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "improved recovery guarantees for phase retrieval from coded diffraction patterns")

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)