scholarly journals A Fiber Nonlinearity Compensation Scheme with Complex-valued Dimension-Reduced Neural Network

2021 ◽  
pp. 1-1
Author(s):  
Pinjing He ◽  
Feilong Wu ◽  
Meng Yang ◽  
Aiying Yang ◽  
Peng Guo ◽  
...  
2013 ◽  
Vol E96.D (10) ◽  
pp. 2257-2265 ◽  
Author(s):  
Hirofumi TSUZUKI ◽  
Mauricio KUGLER ◽  
Susumu KUROYANAGI ◽  
Akira IWATA

Author(s):  
Igor Aizenberg ◽  
Antonio Luchetta ◽  
Stefano Manetti ◽  
Maria Cristina Piccirilli

Abstract A procedure for the identification of lumped models of distributed parameter electromagnetic systems is presented in this paper. A Frequency Response Analysis (FRA) of the device to be modeled is performed, executing repeated measurements or intensive simulations. The method can be used to extract the values of the components. The fundamental brick of this architecture is a multi-valued neuron (MVN), used in a multilayer neural network (MLMVN); the neuron is modified in order to use arbitrary complex-valued inputs, which represent the frequency response of the device. It is shown that this modification requires just a slight change in the MLMVN learning algorithm. The method is tested over three completely different examples to clearly explain its generality.


2014 ◽  
Vol 31 (2) ◽  
pp. 46-56 ◽  
Author(s):  
Liang B. Du ◽  
Danish Rafique ◽  
Antonio Napoli ◽  
Bernhard Spinnler ◽  
Andrew D. Ellis ◽  
...  

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