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
Link To Document :
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