• DocumentCode
    1549725
  • Title

    Enhancing Weak Signal Transmission Through a Feedforward Network

  • Author

    Xiaoming Liang ; Liang Zhao ; Zonghua Liu

  • Author_Institution
    Inst. of Math. & Comput. Sci., Univ. of Sao Paulo, Sao Carlos, Brazil
  • Volume
    23
  • Issue
    9
  • fYear
    2012
  • Firstpage
    1506
  • Lastpage
    1512
  • Abstract
    The ability to transmit and amplify weak signals is fundamental to signal processing of artificial devices in engineering. Using a multilayer feedforward network of coupled double-well oscillators as well as Fitzhugh-Nagumo oscillators, we here investigate the conditions under which a weak signal received by the first layer can be transmitted through the network with or without amplitude attenuation. We find that the coupling strength and the nodes´ states of the first layer act as two-state switches, which determine whether the transmission is significantly enhanced or exponentially decreased. We hope this finding is useful for designing artificial signal amplifiers.
  • Keywords
    feedforward amplifiers; multilayer perceptrons; oscillators; signal processing; switches; Fitzhugh-Nagumo oscillators; amplitude attenuation; artificial devices; artificial signal amplifiers; coupled double-well oscillators; feedforward network; multilayer feedforward network; node states; signal processing; two-state switches; weak signal transmission enhancement; Couplings; Equations; Feedforward neural networks; Learning systems; Neurons; Noise; Oscillators; Coupling strength; Fitzhugh–Nagumo oscillator; designing artificial devices; double-well oscillator; feedforward network; initial condition; signal transmission;
  • fLanguage
    English
  • Journal_Title
    Neural Networks and Learning Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    2162-237X
  • Type

    jour

  • DOI
    10.1109/TNNLS.2012.2204772
  • Filename
    6227359