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 "mismatch and resolution in compressive imaging"):
  Abstract: Highly coherent sensing matrices arise in discretization of continuum problems such as radar and medical#R##N#imaging when the grid spacing is below the Rayleigh threshold as well as in using highly coherent, redundant#R##N#dictionaries as sparsifying operators.#R##N#Algorithms (BOMP, BLOOMP) based on techniques of band exclusion and local optimization are proposed#R##N#to enhance Orthogonal Matching Pursuit (OMP) and deal with such coherent sensing matrices.#R##N#BOMP and BLOOMP have provably performance guarantee of reconstructing sparse, widely separated#R##N#objects independent of the redundancy and have a sparsity constraint and computational cost similar to#R##N#OMP's.#R##N#Numerical study demonstrates the effectiveness of BLOOMP for compressed sensing with highly coherent,#R##N#redundant sensing matrices.

Includes members:
  Member "the music algorithm for sparse objects a compressed sensing analysis":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "compressive spectral estimation with single snapshot esprit stability and resolution")
  Member "coherence pattern guided compressive sensing with unresolved grids":
    also connected through other hyperedges:
      - Hyperedge HE-2 (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)