Title :
Neural Legendre Orthogonal Polynomial Adaptive Equalizer
Author :
Zhao, Haiquan ; Zhang, Jiashu ; Xie, Mingyuan ; Zeng, Xiangping
Author_Institution :
Dept. of Electron. Eng., Chengdu Univ. of Inf. Technol.
fDate :
Aug. 30 2006-Sept. 1 2006
Abstract :
A novel structure of neural network Legendre orthogonal equalizers is proposed when dealing with severe linear and nonlinear distortion. The equalizer is presented based on characteristic of single layer neural network and structure of Legendre orthogonal polynomial after the analysis of few parameter nonlinear filter, and adaptive algorithm is deduced with NLMS. To support the analysis, simulation results for nonlinear channel are provided
Keywords :
Legendre polynomials; adaptive equalisers; distortion; neural nets; nonlinear filters; telecommunication computing; adaptive algorithm; linear distortion; neural network Legendre orthogonal polynomial adaptive equalizer; nonlinear distortion; parameter nonlinear filter; Adaptive algorithm; Adaptive equalizers; Convergence; Decision feedback equalizers; Information technology; Neural networks; Nonlinear distortion; Nonlinear filters; Polynomials; Signal processing;
Conference_Titel :
Innovative Computing, Information and Control, 2006. ICICIC '06. First International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7695-2616-0
DOI :
10.1109/ICICIC.2006.318
