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: "a lower bound for the fisher information measure"
  Abstract: The problem how to approximately determine the value of the Fisher information measure for a general parametric probabilistic system is considered. Having available the first and second moment of the system output in a parametric form, it is shown that the information measure can be bounded from below through a replacement of the original system by a Gaussian system with equivalent moments. The presented technique is applied to a system of practical importance and the potential quality of the bound is demonstrated.

Connected through hyperedge HE-1 (induced by source paper "sensitivity analysis for binary sampling systems via quantitative fisher information lower bounds"):
  with members:
    - "a pessimistic approximation for the fisher information measure"
    - "measurement driven quality assessment of nonlinear systems by exponential replacement"
    - "doa parameter estimation with 1 bit quantization bounds methods and the exponential replacement"
    - "gaussian assumption the least favorable but the most useful lecture notes"
    - "a general framework for transmission with transceiver distortion and some applications"
    - "information theoretic proofs of entropy power inequalities"
    - "multiple parameter estimation with quantized channel output"

Connected through hyperedge HE-2 (induced by source paper "investigation of channel estimation techniques with 1 bit quantization and oversampling for multiple antenna systems"):
  with members:
    - "on low resolution adcs in practical 5g millimeter wave massive mimo systems"
    - "performance analysis for time of arrival estimation with oversampled low complexity 1 bit a d conversion"
    - "throughput analysis of massive mimo uplink with low resolution adcs"
    - "channel estimation and performance analysis of one bit massive mimo systems"
    - "branch and bound precoding for multiuser mimo systems with 1 bit quantization"
    - "iterative detection and decoding algorithms for mimo systems in block fading channels using ldpc codes"
    - "capacity analysis of one bit quantized mimo systems with transmitter channel state information"
    - "quantized massive mu mimo ofdm uplink"

Connected through hyperedge HE-3 (induced by source paper "taking a lesson from quantum particles for statistical data privacy"):
  with members:
    - "issues encountered deploying differential privacy"
    - "privacy loss in apple s implementation of differential privacy on macos 10 12"
    - "calibrating data to sensitivity in private data analysis"

Connected through hyperedge HE-4 (induced by source paper "optimization of massive full dimensional mimo for positioning and communication"):
  with members:
    - "channel estimation and performance analysis of one bit massive mimo systems"
    - "a pessimistic approximation for the fisher information measure"
    - "sectoring in multi cell massive mimo systems"
    - "layered downlink precoding for c ran systems with full dimensional mimo"
    - "positioning for the internet of things a 3gpp perspective"
    - "downlink achievable rate analysis in massive mimo systems with one bit dacs"
    - "optimal fronthaul quantization for cloud radio positioning"
    - "parallel and distributed methods for nonconvex optimization part ii applications"

Connected through hyperedge HE-5 (induced by source paper "measurement driven quality assessment of nonlinear systems by exponential replacement"):
  with members:
    - "overdemodulation for high performance receivers with low resolution adc"

Connected through hyperedge HE-6 (induced by source paper "doa parameter estimation with 1 bit quantization bounds methods and the exponential replacement"):
  with members:
    - "asymptotic parameter tracking performance with measurement data of 1 bit resolution"

Connected through hyperedge HE-7 (induced by source paper "fisher information bounds with applications in nonlinear learning compression and inference"):
  with members:
    - "a pessimistic approximation for the fisher information measure"
    - "measurement driven quality assessment of nonlinear systems by exponential replacement"
    - "doa parameter estimation with 1 bit quantization bounds methods and the exponential replacement"
    - "capacity analysis of one bit quantized mimo systems with transmitter channel state information"
    - "overdemodulation for high performance receivers with low resolution adc"
    - "gaussian assumption the least favorable but the most useful lecture notes"

Connected through hyperedge HE-8 (induced by source paper "overdemodulation for high performance receivers with low resolution adc"):
  with members:
    - "a general framework for transmission with transceiver distortion and some applications"
    - "at low snr asymmetric quantizers are better"
    - "increased capacity per unit cost by oversampling"

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)