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