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 "convolution operations arising from vandermonde matrices"):
  Abstract: Different types of convolution operations involving large Vandermonde matrices are considered. The convolutions parallel those of large Gaussian matrices and additive and multiplicative free convolution, and include additive and multiplicative convolution of Vandermonde matrices and deterministic diagonal matrices, and cases where two independent Vandermonde matrices are involved. It is also shown that the convergence of any combination of Vandermonde matrices is almost sure. The convolutions are divided into two types: those which depend on the phase distribution of the Vandermonde matrices, and those which depend only on the spectra of the matrices. A general criterion is presented to find which type applies for any given convolution. A simulation is presented, verifying the results. Implementations of the presented convolutions are provided and discussed. The implementation is based on the technique of Fourier-Motzkin elimination, and is quite general as it can be applied to virtually any combination of Vandermonde matrices. Connections with related matrices, such as Toeplitz and Hankel matrices, are also discussed.

Includes members:
  Member "eigen inference for energy estimation of multiple sources":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "large system analysis of a glrt for detection with large sensor arrays in temporally white noise")
  Member "finite dimensional statistical inference":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "signal processing in large systems a new paradigm")
  Member "field reconstruction in sensor networks with coverage holes and packet losses":
    also connected through other hyperedges:
      (none)
  Member "channel capacity estimation using free probability theory":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "finite dimensional statistical inference")
  Member "performance of linear field reconstruction techniques with noise and uncertain sensor locations":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "on bandlimited field estimation from samples recorded by a location unaware mobile sensor")
  Member "reconstruction of multidimensional signals from irregular noisy samples":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "spatial degrees of freedom of mimo systems in line of sight environment")
  Member "vandermonde frequency division multiplexing for cognitive radio":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "cognitive orthogonal precoder for two tiered networks deployment")
  Member "free deconvolution for signal processing applications":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "finite dimensional statistical inference")

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)