Title:
EQUALIZATION DEVICE AND EQUALIZATION METHOD
Document Type and Number:
WIPO Patent Application WO/2019/082239
Kind Code:
A1
Abstract:
According to the present invention, a neural network unit (500), which has a relationship in which the number of neuron elements of an input layer (501) is larger than that of an output layer (503), receives a surplus symbol and a target symbol from a neural network input unit (400) and calculates the likelihood of the target symbol.
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Inventors:
MATSUMOTO RYOSUKE (JP)
Application Number:
PCT/JP2017/038173
Publication Date:
May 02, 2019
Filing Date:
October 23, 2017
Export Citation:
Assignee:
MITSUBISHI ELECTRIC CORP (JP)
International Classes:
H04B3/06; H04B10/69
Foreign References:
| JPH05334278A | 1993-12-17 |
Other References:
ESTARAN, J. ET AL.: "Artificial Neural Networks for Linear and Non-Linear Impairment Mitigation in High-Baudrate IM/ DD Systems", ECOC 2016, September 2016 (2016-09-01), XP055596502
YING, HAO ET AL.: "Artificial Neural Network for nonlinear distortion mitigation in optical SSB NPAM-4 Direct-detectior system", ICOCN 2017, August 2017 (2017-08-01), XP033270077
YING, HAO ET AL.: "Artificial Neural Network for nonlinear distortion mitigation in optical SSB NPAM-4 Direct-detectior system", ICOCN 2017, August 2017 (2017-08-01), XP033270077
Attorney, Agent or Firm:
TAZAWA, Hideaki et al. (JP)
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