human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge groups authors who co-authored the same paper.

Details of the hypergraph:
Center hyperedge (induced by source paper "M-ary distributed detection in the presence of channel estimation error"):
  Abstract: We consider a wireless sensor network, consisting of N sensors and a fusion center (FC), tasked with distributed classification of M = 2 L  Gaussian sources. Each sensor makes an M-ary decision, maps it to an L-bit sequence, and modulates these bits employing binary PSK (BPSK) or binary FSK (BFSK) modulators. The binary modulated symbols are transmitted over orthogonal channels, subject to noise and (Rayleigh or Rician) flat fading to the FC. To facilitate channel estimation at the FC with a coherent receiver, each sensor also sends one binary modulated training symbol. We derive the optimal fusion rules, given the channel estimates. To investigate the effect of channel estimation error on the system performance, we assume that the sum of transmit powers corresponding to training and data symbols for each sensor is fixed. We show for BPSK modulation error probability is minimized when each sensor allocates its power equally between training and data. For BFSK error is minimized when power is allotted to data symbols only.

Includes members:
  Member "Impact of Wireless Channel Uncertainty upon Distributed Detection Systems":
    also connected through other hyperedges:
      (none)

Question: Please tell me which research area the co-authored paper (i.e., the source paper of the center hyperedge) belongs to. The 4 classes are: Computer science, Mathematics, Engineering, Economics, Psychology, Business. Directly output the class name.

gpt: Computer science