Low-complexity-nonlinear compensation method using phase linear approximation for 16QAM signals

2018 ◽  
Author(s):  
Shin TAKANO ◽  
Hiroyuki UENOHARA
Keyword(s):  
Linear Approximation ◽  
Low Complexity ◽  
Compensation Method ◽  
Nonlinear Compensation

scholarly journals Nonlinear compensation method for injector in small flow area on GDI engine

2018 ◽  
Vol 51 (31) ◽  
pp. 154-157
Author(s):  
Qiang Wang ◽  
Baiyu Xin ◽  
Pengyuan Sun ◽  
Jialing Li ◽  
Qifang Liu
Keyword(s):  
Compensation Method ◽  
Flow Area ◽  
Small Flow ◽  
Nonlinear Compensation ◽  
Gdi Engine

Nonlinear Compensation Method for Transducer Based on Neural Network with Fourier Functions

2012 ◽  
Vol 220-223 ◽  
pp. 1843-1847
Author(s):  
Nan Lan Wang ◽  
Ming Shan Cai
Keyword(s):  
Neural Network ◽  
Fourier Series ◽  
Compensation Method ◽  
Measured Temperature ◽  
Temperature Transducer ◽  
Model Based ◽  
Basic Functions ◽  
Thermistor Temperature ◽  
Nonlinear Compensation

Aiming to solve the problems in the non-linearity of thermistor temperature transducer, a compensate model based on neural network (NN) is proposed. The basic idea is using Fourier series as the basic functions of NN，the output of transducer as input samples of NN and the temperature as the expectation output of NN. The output of NN is used to approximate to the measured temperature by adjusting the weights. The results show the proposed method is effective in raising accuracy.

Sign in / Sign up

Export Citation Format

Share Document