DocumentCode
2140068
Title
A blind equalizer based on nonlinear dynamics neural networks
Author
Riping, Liao ; Zixiang, Guo ; Suochum, F.
Author_Institution
Inst. of Electron. Technol., Acad. Sinica, Guangzhou, China
Volume
2
fYear
1996
fDate
5-7 May 1996
Firstpage
920
Abstract
Based on nonlinear dynamics theory, this article presents an artificial neural network (ANN) blind equalizer associated with its nonlinear dynamic equation and its stability conditions. Simulation results indicate that this ANN blind equalizer has a very strong tolerance of and adaptation to the time-varying high speed channel. The bit rate of its equalized channel can be as high as 10 Gbps
Keywords
dynamics; equalisers; neural nets; nonlinear equations; recurrent neural nets; stability; time-varying channels; 10 Gbit/s; artificial neural network; bit rate; blind equalizer; equalized channel; feedback neural network; nonlinear dynamic equation; nonlinear dynamics neural networks; nonlinear dynamics theory; simulation results; stability conditions; time-varying high speed channel; Artificial neural networks; Bit rate; Blind equalizers; Circuits; Costs; Differential equations; Joining processes; Neural networks; Nonlinear equations; Satellites; Stability; Time-varying channels; Weapons;
fLanguage
English
Publisher
ieee
Conference_Titel
Communication Technology Proceedings, 1996. ICCT'96., 1996 International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-2916-3
Type
conf
DOI
10.1109/ICCT.1996.545031
Filename
545031
Link To Document