Multiuser detection for DS-CDMA communication systems based on recurrent neural network structures

2002 ◽  
Author(s):  
W.G. Teich ◽  
M. Seidl ◽  
M. Nold
Keyword(s):  
Neural Network ◽  
Multiuser Detection ◽  
Recurrent Neural Network ◽  
Communication Systems ◽  
Network Structures

A novel joint-processing adaptive nonlinear equalizer using a modular recurrent neural network for chaotic communication systems

2011 ◽  
Vol 24 (1) ◽  
pp. 12-18 ◽  
Author(s):  
Haiquan Zhao ◽  
Xiangping Zeng ◽  
Jiashu Zhang ◽  
Yangguang Liu ◽  
Xiaomin Wang ◽  
...  
Keyword(s):  
Neural Network ◽  
Recurrent Neural Network ◽  
Communication Systems ◽  
Chaotic Communication ◽  
Joint Processing

scholarly journals Neural network for noise modeling of SiGe HBT's

2006 ◽  
Vol 16 (1) ◽  
pp. 25-28 ◽  
Author(s):  
Aleksandar Stosic ◽  
Vera Markovic ◽  
Zlatica Marinkovic
Keyword(s):  
Neural Network ◽  
Communication Systems ◽  
Network Structures ◽  
Noise Performance ◽  
Noise Modeling ◽  
Rf Communication ◽  
Modeling Accuracy ◽  
S Parameters

The advantages of SiGe HBTs make them very promising for modern RF communication systems and therefore their noise performance becomes an important issue as well. This paper presents the noise modeling of SiGe HBTs for broad operating ranges. Two neural network structures are presented and discussed from the aspect of modeling accuracy: a basic one and an extended one obtained by adding the S-parameters to the input.

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