human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "sparse signal recovery from nonadaptive linear measurements"
  Abstract: The theory of Compressed Sensing, the emerging sampling paradigm 'that goes against the common wisdom', asserts that 'one can recover signals in Rn from far fewer samples or measurements, if the signal has a sparse representation in some orthonormal basis', from m = O(klogn), k<< n nonadaptive measurements . The accuracy of the recovered signal is 'as good as that attainable with direct knowledge of the k most important coefficients and its locations'. Moreover, a good approximation to those important coefficients is extracted from the measurements by solving a L1 minimization problem viz. Basis Pursuit. 'The nonadaptive measurements have the character of random linear combinations of the basis/frame elements'. #R##N#The theory has implications which are far reaching and immediately leads to a number of applications in Data Compression,Channel Coding and Data Acquisition. 'The last of these applications suggest that CS could have an enormous impact in areas where conventional hardware design has significant limitations', leading to 'efficient and revolutionary methods of data acquisition and storage in future'. #R##N#The paper reviews fundamental mathematical ideas pertaining to compressed sensing viz. sparsity, incoherence, reduced isometry property and basis pursuit, exemplified by the sparse recovery of a speech signal and convergence of the L1- minimization algorithm.

Question: Please tell me which class the center node 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)