DocumentCode :
478036
Title :
Research of Adaptive Equalization Algorithm Based on Diagonal Recurrent Neural Network
Author :
Han, Yingzheng ; Zhao, JuMin ; Li, DengAo
Author_Institution :
Coll. of Inf. Eng., Taiyuan Univ. of Technol., Taiyuan
Volume :
1
fYear :
2008
fDate :
18-20 Oct. 2008
Firstpage :
352
Lastpage :
355
Abstract :
This paper expatiated on the principle of adaptive neural network equalization algorithm. An adaptive equalization algorithm based on diagonal recurrent neural networks (DRNN) was proposed. Iteration formula was reduced and the algorithm was simulated by Matlab. The simulation shows that residual error and BER reduced along with augment of SNR.
Keywords :
recurrent neural nets; adaptive equalization; adaptive neural network equalization; diagonal recurrent neural network; iteration formula; Adaptive equalizers; Adaptive systems; Bit error rate; Computer networks; Cost function; Educational institutions; Electronic mail; Equations; Neural networks; Recurrent neural networks; Adaptive Equalization; Diagonal Recurrent Neural Network; Iteration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation, 2008. ICNC '08. Fourth International Conference on
Conference_Location :
Jinan
Print_ISBN :
978-0-7695-3304-9
Type :
conf
DOI :
10.1109/ICNC.2008.329
Filename :
4666868
Link To Document :
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